diff --git a/translations/ar/.co-op-translator.json b/translations/ar/.co-op-translator.json index c20071a73..fcc563531 100644 --- a/translations/ar/.co-op-translator.json +++ b/translations/ar/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "ar" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:47:46+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "ar" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:52:32+00:00", diff --git a/translations/ar/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/ar/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index cf0acd4b8..2bced898e 100644 --- a/translations/ar/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/ar/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **عينة: تحسين Phi-4-mini-reasoning باستخدام إطار عمل Apple MLX**\n", + "## **مثال: تحسين ضبط Phi-4-mini-reasoning باستخدام إطار عمل Apple MLX**\n", "\n", - "يعتمد هذا على البيانات من FreedomIntelligence/medical-o1-reasoning-SFT، والتي تعزز قدرة Phi-4-mini-reasoning على التفكير في الأحداث الطبية. إذا كنت ترغب في معرفة المزيد عن البيانات، يمكنك استخدام هذا الرابط لمعرفة المزيد عنها: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", + "هذا يستند إلى البيانات من FreedomIntelligence/medical-o1-reasoning-SFT، التي تعزز قدرة Phi-4-mini-reasoning على التفكير في الأحداث الطبية. إذا كنت تريد معرفة المزيد عن البيانات، يمكنك استخدام هذا الرابط لمعرفة المزيد عنها: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", "\n", - "*ملاحظة: يُرجى استخدام أجهزة Apple silicon بذاكرة 64 جيجابايت لتشغيل هذه العينة*\n" + "*ملاحظة: يرجى استخدام أجهزة Apple Silicon بذاكرة 64 جيجابايت لتشغيل هذا المثال*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **البيانات**\n", "\n", - "نحتاج إلى تقسيم البيانات إلى تدريب وصلاحية ووضعها في مجلد البيانات. لاحظ أن apple mlx يسمي بيانات التدريب افتراضيًا. يتم تسمية بيانات التدريب بـ train.jsonl وبيانات الصلاحية بـ valid.json.\n" + "نحتاج إلى تقسيم البيانات إلى train و valid ووضعها في مجلد البيانات. لاحظ أن apple mlx تسمي بيانات التدريب افتراضيًا. يتم تسمية train بـ train.jsonl و valid يتم تسميتها valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -239,7 +241,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **تدريب**\n" + "### **التدريب**\n" ] }, { @@ -282,7 +284,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **اختبار**\n" + "### **الاختبار**\n" ] }, { @@ -343,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**إخلاء المسؤولية**: \nتم ترجمة هذا المستند باستخدام خدمة الترجمة بالذكاء الاصطناعي [Co-op Translator](https://github.com/Azure/co-op-translator). بينما نسعى لتحقيق الدقة، يرجى العلم أن الترجمات الآلية قد تحتوي على أخطاء أو معلومات غير دقيقة. يجب اعتبار المستند الأصلي بلغته الأصلية المصدر الموثوق. للحصول على معلومات حاسمة، يُوصى بالاستعانة بترجمة بشرية احترافية. نحن غير مسؤولين عن أي سوء فهم أو تفسيرات خاطئة تنشأ عن استخدام هذه الترجمة.\n" + "---\n\n\n**تنويه**:\nتمت ترجمة هذا المستند باستخدام خدمة الترجمة بالذكاء الاصطناعي [Co-op Translator](https://github.com/Azure/co-op-translator). بينما نسعى للدقة، يرجى العلم أن الترجمات الآلية قد تحتوي على أخطاء أو عدم دقة. يجب اعتبار المستند الأصلي بلغته الأصلية المصدر الرسمي والمعتمد. للمعلومات الهامة، يُنصح بالاستعانة بترجمة بشرية محترفة. نحن غير مسؤولين عن أي سوء فهم أو تفسير ناتج عن استخدام هذه الترجمة.\n\n" ] } ], @@ -2687,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T18:36:48+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "ar" } }, "nbformat": 4, diff --git a/translations/bg/.co-op-translator.json b/translations/bg/.co-op-translator.json index c527a6e0a..eafbecbc7 100644 --- a/translations/bg/.co-op-translator.json +++ b/translations/bg/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "bg" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:35:07+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "bg" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:59:01+00:00", diff --git a/translations/bg/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/bg/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 4dcec6751..9f716738f 100644 --- a/translations/bg/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/bg/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Пример: фина настройка на Phi-4-mini-reasoning с Apple MLX Framework**\n", + "## **Пример: фина настройка на Phi-4-mini-reasoning с Apple MLX Framewrok**\n", "\n", - "Това се базира на данни от FreedomIntelligence/medical-o1-reasoning-SFT, които подобряват способността на Phi-4-mini-reasoning да разсъждава върху медицински събития. Ако искате да научите повече за данните, можете да използвате този линк, за да научите повече: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Това е базирано на данните от FreedomIntelligence/medical-o1-reasoning-SFT, които подобряват способността на Phi-4-mini-reasoning да разсъждава за медицински събития. Ако искате да научите повече за данните, можете да използвате този линк, за да научите повече за тях: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Забележка: Моля, използвайте устройства с Apple silicon и 64GB памет, за да изпълните този пример.*\n" + "*Забележка: Моля, използвайте устройства с Apple silicon с 64 GB памет, за да стартирате този пример*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Данни**\n", "\n", - "Трябва да разделим данните на train и valid и да ги поставим в папката data. Имайте предвид, че apple mlx по подразбиране именува тренировъчните данни. train се нарича train.jsonl, а valid се нарича valid.json.\n" + "Трябва да разделим данните на train и valid и да ги поставим в папката data. Обърнете внимание, че apple mlx по подразбиране именува обучаващите данни. train се именува train.jsonl, а valid се именува valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Обучение**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Тестване**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Отказ от отговорност**: \nТози документ е преведен с помощта на AI услуга за превод [Co-op Translator](https://github.com/Azure/co-op-translator). Въпреки че се стремим към точност, моля, имайте предвид, че автоматизираните преводи може да съдържат грешки или неточности. Оригиналният документ на неговия роден език трябва да се счита за авторитетен източник. За критична информация се препоръчва професионален човешки превод. Ние не носим отговорност за каквито и да било недоразумения или погрешни интерпретации, произтичащи от използването на този превод.\n" + "---\n\n\n**Отказ от отговорност**:\nТози документ е преведен с помощта на AI преводачески услуга [Co-op Translator](https://github.com/Azure/co-op-translator). Въпреки че се стремим към точност, моля имайте предвид, че автоматизираните преводи могат да съдържат грешки или неточности. Оригиналният документ на неговия роден език трябва да се счита за авторитетен източник. За критична информация се препоръчва професионален човешки превод. Ние не носим отговорност за каквито и да е недоразумения или неправилни тълкувания, произтичащи от използването на този превод.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-13T05:46:08+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "bg" } }, "nbformat": 4, diff --git a/translations/bn/.co-op-translator.json b/translations/bn/.co-op-translator.json index 3edc9b647..939870103 100644 --- a/translations/bn/.co-op-translator.json +++ b/translations/bn/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "bn" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:50:39+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "bn" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:54:12+00:00", diff --git a/translations/bn/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/bn/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index f39d77894..f71b6c499 100644 --- a/translations/bn/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/bn/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **নমুনা: Apple MLX Framework ব্যবহার করে Phi-4-mini-reasoning এর ফাইন-টিউনিং**\n", + "## **উদাহরণ : Apple MLX ফ্রেমওয়ার্ক দিয়ে Phi-4-mini-reasoning ফাইন-টিউনিং**\n", "\n", - "এটি FreedomIntelligence/medical-o1-reasoning-SFT এর ডেটার উপর ভিত্তি করে তৈরি, যা Phi-4-mini-reasoning এর মেডিকেল ইভেন্ট সম্পর্কে যুক্তি প্রদানের সক্ষমতাকে উন্নত করে। যদি আপনি ডেটা সম্পর্কে আরও জানতে চান, তাহলে এই লিঙ্কটি ব্যবহার করে আরও জানতে পারেন: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "এটি FreedomIntelligence/medical-o1-reasoning-SFT এর তথ্যের ভিত্তিতে তৈরি, যা Phi-4-mini-reasoning কে মেডিকেল ঘটনাগুলো বিশ্লেষণ করার ক্ষমতা বৃদ্ধি করে। আপনি যদি এই তথ্য সম্পর্কে আরও জানতে চান, তাহলে এই লিঙ্কটি ব্যবহার করে তা সম্পর্কে আরও জানতে পারেন: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*নোট: অনুগ্রহ করে 64gb মেমোরি Apple সিলিকন ডিভাইস ব্যবহার করে এই নমুনাটি চালান*\n" + "*দ্রষ্টব্য: দয়া করে এই উদাহরণটি চালানোর জন্য 64GB মেমরি সম্পন্ন Apple সিলিকন ডিভাইস ব্যবহার করুন*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **ডেটা**\n", "\n", - "আমাদের ডেটাকে train এবং valid এ ভাগ করতে হবে এবং data ফোল্ডারে রাখতে হবে। মনে রাখবেন, apple mlx ডিফল্টভাবে ট্রেনিং ডেটার নামকরণ করে। train এর নাম train.jsonl এবং valid এর নাম valid.json।\n" + "আমাদের ডেটা ট্রেন এবং ভ্যালিডে ভাগ করতে হবে এবং ডেটা ফোল্ডারে রাখতে হবে। লক্ষ্য করুন যে অ্যাপল mlx ডিফল্টভাবে ট্রেনিং ডেটার নামকরণ করে। train এর নাম train.jsonl এবং valid এর নাম valid.json।\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **প্রশিক্ষণ**\n" + ] }, { "cell_type": "code", @@ -341,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**অস্বীকৃতি**: \nএই নথিটি AI অনুবাদ পরিষেবা [Co-op Translator](https://github.com/Azure/co-op-translator) ব্যবহার করে অনুবাদ করা হয়েছে। আমরা যথাসম্ভব সঠিকতার জন্য চেষ্টা করি, তবে অনুগ্রহ করে মনে রাখবেন যে স্বয়ংক্রিয় অনুবাদে ত্রুটি বা অসঙ্গতি থাকতে পারে। মূল ভাষায় থাকা নথিটিকে প্রামাণিক উৎস হিসেবে বিবেচনা করা উচিত। গুরুত্বপূর্ণ তথ্যের জন্য, পেশাদার মানব অনুবাদ সুপারিশ করা হয়। এই অনুবাদ ব্যবহারের ফলে কোনো ভুল বোঝাবুঝি বা ভুল ব্যাখ্যা হলে আমরা দায়ী থাকব না।\n" + "---\n\n\n**অস্বীকৃতি**:\nএই নথিটি AI অনুবাদ পরিষেবা [Co-op Translator](https://github.com/Azure/co-op-translator) ব্যবহার করে অনূদিত হয়েছে। যদিও আমরা শুদ্ধতার জন্য চেষ্টা করি, অনুগ্রহ করে মনে রাখবেন যে স্বয়ংক্রিয় অনুবাদে ত্রুটি বা অসঙ্গতি থাকতে পারে। মূল নথিটি তার স্বভাষায় কর্তৃত্বপূর্ণ উৎস হিসেবে বিবেচিত হওয়া উচিত। গুরুত্বপূর্ণ তথ্যের জন্য পেশাদার মানব অনুবাদ সুপারিশ করা হয়। এই অনুবাদের ব্যবহারে প্রয়োজনীয় ভুল বোঝাবুঝি বা ভুল ব্যাখ্যার জন্য আমরা দায়বদ্ধ নই।\n\n" ] } ], @@ -2685,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T18:37:14+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "bn" } }, "nbformat": 4, diff --git a/translations/cs/.co-op-translator.json b/translations/cs/.co-op-translator.json index a01139f56..79737f9d6 100644 --- a/translations/cs/.co-op-translator.json +++ b/translations/cs/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "cs" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:58:47+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "cs" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:58:29+00:00", diff --git a/translations/cs/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/cs/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index d33c9768c..6052c449b 100644 --- a/translations/cs/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/cs/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Ukázka: doladění Phi-4-mini-reasoning pomocí Apple MLX Framework**\n", + "## **Ukázka: doladění Phi-4-mini-reasoning s Apple MLX Framework**\n", "\n", - "Toto je založeno na datech z FreedomIntelligence/medical-o1-reasoning-SFT, která zlepšují schopnost Phi-4-mini-reasoning uvažovat o lékařských událostech. Pokud se chcete dozvědět více o těchto datech, můžete použít tento odkaz: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Toto je založeno na datech z FreedomIntelligence/medical-o1-reasoning-SFT, která zlepšují schopnost Phi-4-mini-reasoning rozumět lékařským událostem. Pokud se chcete o datech dozvědět více, můžete použít tento odkaz: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", "\n", - "*Poznámka: Prosím, použijte zařízení Apple silicon s pamětí 64 GB pro spuštění této ukázky.*\n" + "*Poznámka: Pro spuštění této ukázky prosím použijte zařízení Apple silicon s 64 GB paměti*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Data**\n", "\n", - "Musíme rozdělit data na trénovací a validační a umístit je do složky data. Všimněte si, že apple mlx pojmenovává trénovací data ve výchozím nastavení. Trénovací data se jmenují train.jsonl a validační data se jmenují valid.json.\n" + "Musíme rozdělit data na trénovací a validační a umístit je do složky data. Všimněte si, že apple mlx pojmenovává trénovací data ve výchozím nastavení. train je pojmenován jako train.jsonl a valid je pojmenován jako valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Trénink**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testování**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Prohlášení**: \nTento dokument byl přeložen pomocí služby pro automatický překlad [Co-op Translator](https://github.com/Azure/co-op-translator). I když se snažíme o přesnost, mějte na paměti, že automatické překlady mohou obsahovat chyby nebo nepřesnosti. Původní dokument v jeho původním jazyce by měl být považován za autoritativní zdroj. Pro důležité informace se doporučuje profesionální lidský překlad. Neodpovídáme za žádná nedorozumění nebo nesprávné interpretace vyplývající z použití tohoto překladu.\n" + "---\n\n\n**Prohlášení o omezení odpovědnosti**:\nTento dokument byl přeložen pomocí AI překladatelské služby [Co-op Translator](https://github.com/Azure/co-op-translator). Přestože usilujeme o co největší přesnost, mějte prosím na paměti, že automatizované překlady mohou obsahovat chyby nebo nepřesnosti. Originální dokument v jeho mateřském jazyce by měl být považován za autoritativní zdroj. Pro kritické informace se doporučuje profesionální lidský překlad. Nejsme odpovědní za jakékoli nedorozumění nebo nesprávné interpretace vzniklé použitím tohoto překladu.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-13T05:45:45+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "cs" } }, "nbformat": 4, diff --git a/translations/da/.co-op-translator.json b/translations/da/.co-op-translator.json index 253bb58b6..7405c3224 100644 --- a/translations/da/.co-op-translator.json +++ b/translations/da/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "da" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:01:12+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "da" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:56:33+00:00", diff --git a/translations/da/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/da/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 529de95f9..c1893df5f 100644 --- a/translations/da/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/da/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -6,7 +6,7 @@ "source": [ "## **Eksempel: finjustering af Phi-4-mini-reasoning med Apple MLX Framework**\n", "\n", - "Dette er baseret på data fra FreedomIntelligence/medical-o1-reasoning-SFT, som forbedrer Phi-4-mini-reasonings evne til at ræsonnere omkring medicinske hændelser. Hvis du vil lære mere om dataene, kan du bruge dette link til at få mere information: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Dette er baseret på data fra FreedomIntelligence/medical-o1-reasoning-SFT, som forbedrer Phi-4-mini-reasonings evne til at ræsonnere om medicinske begivenheder. Hvis du vil vide mere om dataene, kan du bruge dette link for at lære mere om det: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", "*Bemærk: Brug venligst Apple silicon-enheder med 64 GB hukommelse til at køre dette eksempel*\n" ] @@ -79,7 +79,7 @@ "source": [ "### **Data**\n", "\n", - "Vi skal opdele dataene i train og valid og placere dem i data-mappen. Bemærk, at apple mlx som standard navngiver træningsdataene. train hedder train.jsonl, og valid hedder valid.json.\n" + "Vi skal opdele dataene i train og valid og placere dem i data-mappen. Bemærk, at apple mlx som standard navngiver træningsdataene. train hedder train.jsonl, og valid hedder valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Træning**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testning**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Ansvarsfraskrivelse**: \nDette dokument er blevet oversat ved hjælp af AI-oversættelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selvom vi bestræber os på nøjagtighed, skal du være opmærksom på, at automatiserede oversættelser kan indeholde fejl eller unøjagtigheder. Det originale dokument på dets oprindelige sprog bør betragtes som den autoritative kilde. For kritisk information anbefales professionel menneskelig oversættelse. Vi påtager os ikke ansvar for eventuelle misforståelser eller fejltolkninger, der opstår som følge af brugen af denne oversættelse.\n" + "---\n\n\n**Ansvarsfraskrivelse**:\nDette dokument er blevet oversat ved hjælp af AI-oversættelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selvom vi bestræber os på nøjagtighed, skal du være opmærksom på, at automatiserede oversættelser kan indeholde fejl eller unøjagtigheder. Det originale dokument på dets oprindelige sprog bør betragtes som den autoritative kilde. For kritisk information anbefales professionel menneskelig oversættelse. Vi påtager os intet ansvar for misforståelser eller fejltolkninger, der opstår som følge af brugen af denne oversættelse.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:57:28+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "da" } }, "nbformat": 4, diff --git a/translations/de/.co-op-translator.json b/translations/de/.co-op-translator.json index 26c74bdbe..2a6bd4b1c 100644 --- a/translations/de/.co-op-translator.json +++ b/translations/de/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "de" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:47:25+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "de" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:52:12+00:00", diff --git a/translations/de/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/de/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 797af3520..826589857 100644 --- a/translations/de/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/de/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Beispiel: Feinabstimmung von Phi-4-mini-reasoning mit dem Apple MLX Framework**\n", + "## **Beispiel: Feinabstimmung von Phi-4-mini-reasoning mit Apple MLX Framework**\n", "\n", - "Dies basiert auf den Daten von FreedomIntelligence/medical-o1-reasoning-SFT, die die Fähigkeit von Phi-4-mini-reasoning verbessern, über medizinische Ereignisse nachzudenken. Wenn Sie mehr über die Daten erfahren möchten, können Sie diesen Link nutzen, um weitere Informationen zu erhalten: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Dies basiert auf den Daten von FreedomIntelligence/medical-o1-reasoning-SFT, die die Fähigkeit von Phi-4-mini-reasoning verbessern, über medizinische Ereignisse zu schlussfolgern. Wenn Sie mehr über die Daten erfahren möchten, können Sie diesen Link verwenden, um weitere Informationen zu erhalten: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Hinweis: Bitte verwenden Sie Apple-Silicon-Geräte mit 64 GB Speicher, um dieses Beispiel auszuführen.*\n" + "*Hinweis: Bitte verwenden Sie Apple Silicon Geräte mit 64 GB Speicher, um dieses Beispiel auszuführen*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Daten**\n", "\n", - "Wir müssen die Daten in train und valid aufteilen und sie im Datenordner ablegen. Beachten Sie, dass apple mlx die Trainingsdaten standardmäßig benennt. train wird als train.jsonl und valid als valid.json bezeichnet.\n" + "Wir müssen die Daten in train und valid aufteilen und im Datenordner ablegen. Beachten Sie, dass Apple MLX die Trainingsdaten standardmäßig benennt. train heißt train.jsonl und valid heißt valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Training**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testen**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Haftungsausschluss**: \nDieses Dokument wurde mit dem KI-Übersetzungsdienst [Co-op Translator](https://github.com/Azure/co-op-translator) übersetzt. Obwohl wir uns um Genauigkeit bemühen, beachten Sie bitte, dass automatisierte Übersetzungen Fehler oder Ungenauigkeiten enthalten können. Das Originaldokument in seiner ursprünglichen Sprache sollte als maßgebliche Quelle betrachtet werden. Für kritische Informationen wird eine professionelle menschliche Übersetzung empfohlen. Wir übernehmen keine Haftung für Missverständnisse oder Fehlinterpretationen, die sich aus der Nutzung dieser Übersetzung ergeben.\n" + "---\n\n\n**Haftungsausschluss**:\nDieses Dokument wurde mit dem KI-Übersetzungsdienst [Co-op Translator](https://github.com/Azure/co-op-translator) übersetzt. Obwohl wir uns um Genauigkeit bemühen, beachten Sie bitte, dass automatisierte Übersetzungen Fehler oder Ungenauigkeiten enthalten können. Das Originaldokument in seiner Ursprungssprache gilt als maßgebliche Quelle. Bei kritischen Informationen wird eine professionelle menschliche Übersetzung empfohlen. Wir übernehmen keine Haftung für Missverständnisse oder Fehlinterpretationen, die aus der Verwendung dieser Übersetzung entstehen.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T15:11:23+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "de" } }, "nbformat": 4, diff --git a/translations/el/.co-op-translator.json b/translations/el/.co-op-translator.json index 176c27648..330d60b19 100644 --- a/translations/el/.co-op-translator.json +++ b/translations/el/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "el" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:26:24+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "el" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:55:58+00:00", diff --git a/translations/el/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/el/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index ca7af0690..a16736c71 100644 --- a/translations/el/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/el/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Δείγμα: προσαρμογή του Phi-4-mini-reasoning με το Apple MLX Framework**\n", + "## **Παράδειγμα : λεπτομερής προσαρμογή του Phi-4-mini-reasoning με το πλαίσιο Apple MLX**\n", "\n", - "Αυτό βασίζεται στα δεδομένα από το FreedomIntelligence/medical-o1-reasoning-SFT, που ενισχύουν την ικανότητα του Phi-4-mini-reasoning να αναλύει ιατρικά γεγονότα. Αν θέλετε να μάθετε περισσότερα για τα δεδομένα, μπορείτε να χρησιμοποιήσετε αυτόν τον σύνδεσμο για περισσότερες πληροφορίες: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Αυτό βασίζεται στα δεδομένα από το FreedomIntelligence/medical-o1-reasoning-SFT, που βελτιώνει την ικανότητα του Phi-4-mini-reasoning να αιτιολογεί σχετικά με ιατρικά γεγονότα. Εάν θέλετε να μάθετε περισσότερα σχετικά με τα δεδομένα, μπορείτε να χρησιμοποιήσετε αυτόν τον σύνδεσμο για να μάθετε περισσότερα: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Σημείωση: Παρακαλώ χρησιμοποιήστε συσκευές Apple silicon με μνήμη 64gb για να εκτελέσετε αυτό το δείγμα*\n" + "*Σημείωση： Παρακαλώ χρησιμοποιήστε συσκευές Apple silicon με 64gb μνήμη για να τρέξετε αυτό το παράδειγμα*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Δεδομένα**\n", "\n", - "Πρέπει να χωρίσουμε τα δεδομένα σε train και valid και να τα τοποθετήσουμε στον φάκελο δεδομένων. Σημειώστε ότι το apple mlx ονομάζει τα δεδομένα εκπαίδευσης από προεπιλογή. Το train ονομάζεται train.jsonl και το valid ονομάζεται valid.json.\n" + "Πρέπει να χωρίσουμε τα δεδομένα σε train και valid και να τα τοποθετήσουμε στον φάκελο data. Σημειώστε ότι το apple mlx ονομάζει τα δεδομένα εκπαίδευσης από προεπιλογή. Το train ονομάζεται train.jsonl και το valid ονομάζεται valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Εκπαίδευση**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Δοκιμή**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Αποποίηση ευθύνης**: \nΑυτό το έγγραφο έχει μεταφραστεί χρησιμοποιώντας την υπηρεσία αυτόματης μετάφρασης [Co-op Translator](https://github.com/Azure/co-op-translator). Παρόλο που καταβάλλουμε προσπάθειες για ακρίβεια, παρακαλούμε να έχετε υπόψη ότι οι αυτοματοποιημένες μεταφράσεις ενδέχεται να περιέχουν λάθη ή ανακρίβειες. Το πρωτότυπο έγγραφο στη μητρική του γλώσσα θα πρέπει να θεωρείται η αυθεντική πηγή. Για κρίσιμες πληροφορίες, συνιστάται επαγγελματική ανθρώπινη μετάφραση. Δεν φέρουμε ευθύνη για τυχόν παρεξηγήσεις ή εσφαλμένες ερμηνείες που προκύπτουν από τη χρήση αυτής της μετάφρασης.\n" + "---\n\n\n**Αποποίηση ευθυνών**:\nΑυτό το έγγραφο έχει μεταφραστεί χρησιμοποιώντας την υπηρεσία μετάφρασης με τεχνητή νοημοσύνη [Co-op Translator](https://github.com/Azure/co-op-translator). Ενώ επιδιώκουμε την ακρίβεια, παρακαλούμε να έχετε υπόψη ότι οι αυτοματοποιημένες μεταφράσεις ενδέχεται να περιέχουν λάθη ή ανακρίβειες. Το πρωτότυπο έγγραφο στη μητρική του γλώσσα πρέπει να θεωρείται η αυθεντική πηγή. Για κρίσιμες πληροφορίες, συνιστάται επαγγελματική ανθρώπινη μετάφραση. Δεν φέρουμε ευθύνη για τυχόν παρεξηγήσεις ή λανθασμένες ερμηνείες που προκύπτουν από τη χρήση αυτής της μετάφρασης.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:57:06+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "el" } }, "nbformat": 4, diff --git a/translations/et/.co-op-translator.json b/translations/et/.co-op-translator.json index 2b3182825..cddb44931 100644 --- a/translations/et/.co-op-translator.json +++ b/translations/et/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "et" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:07:09+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "et" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-10-11T11:53:55+00:00", diff --git a/translations/et/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/et/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 822053e05..82091437b 100644 --- a/translations/et/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/et/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Näide : Phi-4-mini-reasoning peenhäälestamine Apple MLX raamistikuga**\n", + "## **Näidis: Phi-4-mini-reasoningu peenhäälestamine Apple MLX raamistikuga**\n", "\n", - "See põhineb FreedomIntelligence/medical-o1-reasoning-SFT andmetel, mis parandavad Phi-4-mini-reasoning võimet meditsiiniliste sündmuste üle järeldada. Kui soovite andmete kohta rohkem teada saada, võite kasutada seda linki: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "See põhineb FreedomIntelligence/medical-o1-reasoning-SFT andmetel, mis parandavad Phi-4-mini-reasoningu võimet meditsiiniliste sündmuste üle järeldusi teha. Kui soovite andmete kohta rohkem teada saada, saate selle lingi kaudu lisainfot leida: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Märkus: Palun kasutage selle näidise käitamiseks Apple Silicon seadmeid, millel on 64 GB mälu*\n" + "*Märkus: Palun kasutage selle näidise käitamiseks 64 GB mäluga Apple Silicon seadmeid*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Andmed**\n", "\n", - "Peame andmed jagama train ja valid vahel ning paigutama need kausta data. Pange tähele, et apple mlx nimetab treeningandmed vaikimisi. train on nimega train.jsonl ja valid on nimega valid.json\n" + "Peame jagama andmed treeninguks ja valideerimiseks ning paigutama need kausta data. Pane tähele, et apple mlx nimetab treeningandmed vaikimisi. train nimetatakse train.jsonl ja valid nimetatakse valid.json.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -343,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "---\n\n\nVastutusest loobumine:\nSee dokument on tõlgitud tehisintellekti tõlketeenuse [Co-op Translator](https://github.com/Azure/co-op-translator) abil. Kuigi püüame tagada täpsust, palun arvestage, et automatiseeritud tõlked võivad sisaldada vigu või ebatäpsusi. Originaaldokument selle emakeeles tuleks pidada autoriteetseks allikaks. Olulise teabe puhul soovitatakse kasutada professionaalset inimtõlget. Me ei vastuta ühegi selle tõlke kasutamisest tuleneva arusaamatuse või valesti tõlgendamise eest.\n\n" + "---\n\n\n**Lahtiütlus**:\nSee dokument on tõlgitud kasutades AI tõlketeenust [Co-op Translator](https://github.com/Azure/co-op-translator). Kuigi me püüdleme täpsuse poole, palun pange tähele, et automatiseeritud tõlgetes võib esineda vigu või ebatäpsusi. Originaaldokument selle emakeeles tuleks pidada autoriteetseks allikaks. Olulise teabe puhul soovitatakse kasutada professionaalset inimtõlget. Me ei vastuta selle tõlkega seotud eksimustest või valesti mõistmistest.\n\n" ] } ], @@ -2687,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-12-22T10:09:15+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "et" } }, "nbformat": 4, diff --git a/translations/fa/.co-op-translator.json b/translations/fa/.co-op-translator.json index 21028b8f8..a56885182 100644 --- a/translations/fa/.co-op-translator.json +++ b/translations/fa/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "fa" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:32:04+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "fa" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:52:41+00:00", diff --git a/translations/fa/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/fa/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index ead9d01c9..b19ba475a 100644 --- a/translations/fa/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/fa/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **نمونه: تنظیم دقیق Phi-4-mini-reasoning با چارچوب Apple MLX**\n", + "## **نمونه: تنظیم دقیق Phi-4-mini-reasoning با فریم‌ورک Apple MLX**\n", "\n", - "این نمونه بر اساس داده‌های FreedomIntelligence/medical-o1-reasoning-SFT است که توانایی Phi-4-mini-reasoning را در استدلال درباره رویدادهای پزشکی بهبود می‌بخشد. اگر می‌خواهید اطلاعات بیشتری درباره داده‌ها کسب کنید، می‌توانید از این لینک برای یادگیری بیشتر استفاده کنید: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", + "این بر اساس داده‌های FreedomIntelligence/medical-o1-reasoning-SFT است که قابلیت Phi-4-mini-reasoning را در استدلال درباره رویدادهای پزشکی افزایش می‌دهد. اگر می‌خواهید اطلاعات بیشتری درباره داده‌ها کسب کنید، می‌توانید از این لینک برای آشنایی بیشتر استفاده کنید: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", "\n", - "*توجه: لطفاً از دستگاه‌های Apple silicon با حافظه 64 گیگابایت برای اجرای این نمونه استفاده کنید.*\n" + "*توجه: لطفاً برای اجرای این نمونه از دستگاه‌های Apple silicon با حافظه 64 گیگابایت استفاده کنید*\n" ] }, { @@ -77,9 +77,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **داده‌ها**\n", + "### **داده**\n", "\n", - "ما باید داده‌ها را به دو بخش آموزش و اعتبارسنجی تقسیم کنیم و آن‌ها را در پوشه داده قرار دهیم. توجه داشته باشید که apple mlx به صورت پیش‌فرض داده‌های آموزشی را نام‌گذاری می‌کند. فایل آموزش با نام train.jsonl و فایل اعتبارسنجی با نام valid.json نام‌گذاری شده‌اند.\n" + "ما باید داده‌ها را به train و valid تقسیم کنیم و آن‌ها را در پوشه داده قرار دهیم. توجه داشته باشید که apple mlx به‌طور پیش‌فرض داده‌های آموزش را نام‌گذاری می‌کند. train با نام train.jsonl و valid با نام valid.json نام‌گذاری می‌شود.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **آموزش**\n" + ] }, { "cell_type": "code", @@ -341,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**سلب مسئولیت**: \nاین سند با استفاده از سرویس ترجمه هوش مصنوعی [Co-op Translator](https://github.com/Azure/co-op-translator) ترجمه شده است. در حالی که ما تلاش می‌کنیم دقت را حفظ کنیم، لطفاً توجه داشته باشید که ترجمه‌های خودکار ممکن است شامل خطاها یا نادرستی‌ها باشند. سند اصلی به زبان اصلی آن باید به عنوان منبع معتبر در نظر گرفته شود. برای اطلاعات حساس، توصیه می‌شود از ترجمه حرفه‌ای انسانی استفاده کنید. ما مسئولیتی در قبال سوء تفاهم‌ها یا تفسیرهای نادرست ناشی از استفاده از این ترجمه نداریم.\n" + "---\n\n\n**سلب مسئولیت**:\nاین سند با استفاده از سرویس ترجمه هوش مصنوعی [Co-op Translator](https://github.com/Azure/co-op-translator) ترجمه شده است. در حالی که ما در تلاش برای دقت هستیم، لطفاً توجه داشته باشید که ترجمه‌های خودکار ممکن است شامل خطاها یا نادرستی‌هایی باشند. سند اصلی به زبان مادری خود باید به عنوان منبع معتبر در نظر گرفته شود. برای اطلاعات حیاتی، ترجمه حرفه‌ای انسانی توصیه می‌شود. ما در قبال هرگونه سوء تفاهم یا برداشت نادرست ناشی از استفاده از این ترجمه مسئولیتی نداریم.\n\n" ] } ], @@ -2685,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T15:11:33+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "fa" } }, "nbformat": 4, diff --git a/translations/fi/.co-op-translator.json b/translations/fi/.co-op-translator.json index 14193e5b9..117d0e35f 100644 --- a/translations/fi/.co-op-translator.json +++ b/translations/fi/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "fi" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:01:31+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "fi" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:56:52+00:00", diff --git a/translations/fi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/fi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index c239374f3..3741d1cd5 100644 --- a/translations/fi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/fi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Esimerkki: Phi-4-mini-reasoning -mallin hienosäätö Apple MLX -kehystä käyttäen**\n", + "## **Esimerkki: Phi-4-mini-reasoningin hienosäätö Apple MLX -kehyksen avulla**\n", "\n", - "Tämä perustuu FreedomIntelligence/medical-o1-reasoning-SFT -datan käyttöön, joka parantaa Phi-4-mini-reasoning -mallin kykyä tehdä päätelmiä lääketieteellisistä tapahtumista. Jos haluat oppia lisää datasta, voit käyttää tätä linkkiä saadaksesi lisätietoa: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Tämä perustuu FreedomIntelligence/medical-o1-reasoning-SFT -aineistoon, joka parantaa Phi-4-mini-reasoningin kykyä päättellä lääketieteellisistä tapahtumista. Jos haluat oppia lisää aineistosta, voit käyttää tätä linkkiä saadaksesi lisätietoja: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", "\n", - "*Huomio: Käytä 64gb muistilla varustettuja Apple Silicon -laitteita tämän esimerkin suorittamiseen.*\n" + "*Huomautus: Käytä tätä esimerkkiä ajettaessa 64 Gt:n muistin Apple silicon -laitteita*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Data**\n", "\n", - "Meidän täytyy jakaa data train- ja valid-osioihin ja sijoittaa ne data-kansioon. Huomaa, että apple mlx nimeää koulutusdatan oletuksena. train on nimeltään train.jsonl ja valid on nimeltään valid.json.\n" + "Meidän täytyy jakaa data train- ja valid-osioihin ja sijoittaa ne data-kansioon. Huomaa, että apple mlx nimeää oletuksena harjoitusdatan. train-nimi on train.jsonl ja valid-nimi on valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Koulutus**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testaus**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Vastuuvapauslauseke**: \nTämä asiakirja on käännetty käyttämällä tekoälypohjaista käännöspalvelua [Co-op Translator](https://github.com/Azure/co-op-translator). Vaikka pyrimme tarkkuuteen, huomioithan, että automaattiset käännökset voivat sisältää virheitä tai epätarkkuuksia. Alkuperäistä asiakirjaa sen alkuperäisellä kielellä tulisi pitää ensisijaisena lähteenä. Kriittisen tiedon osalta suositellaan ammattimaista ihmiskäännöstä. Emme ole vastuussa väärinkäsityksistä tai virhetulkinnoista, jotka johtuvat tämän käännöksen käytöstä.\n" + "---\n\n\n**Vastuuvapauslauseke**:\nTämä asiakirja on käännetty käyttämällä tekoälypohjaista käännöspalvelua [Co-op Translator](https://github.com/Azure/co-op-translator). Vaikka pyrimme tarkkuuteen, otathan huomioon, että automaattiset käännökset saattavat sisältää virheitä tai epätarkkuuksia. Alkuperäinen asiakirja sen alkuperäiskielellä on virallinen lähde. Tärkeissä asioissa suositellaan ammattimaista ihmiskäännöstä. Emme ole vastuussa tämän käännöksen käytöstä aiheutuvista väärinymmärryksistä tai tulkinnoista.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:57:43+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "fi" } }, "nbformat": 4, diff --git a/translations/he/.co-op-translator.json b/translations/he/.co-op-translator.json index 8eef0b5c0..f63fedcbc 100644 --- a/translations/he/.co-op-translator.json +++ b/translations/he/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "he" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:18:18+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "he" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:57:17+00:00", diff --git a/translations/he/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/he/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 6fda5c657..a066f28ca 100644 --- a/translations/he/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/he/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **דוגמה: כיוונון עדין של Phi-4-mini-reasoning עם מסגרת Apple MLX**\n", + "## **דוגמה : כוונון עדין של Phi-4-mini-reasoning עם Apple MLX Framework**\n", "\n", - "זה מבוסס על הנתונים מ-FreedomIntelligence/medical-o1-reasoning-SFT, שמגבירים את היכולת של Phi-4-mini-reasoning להסיק מסקנות לגבי אירועים רפואיים. אם אתם רוצים ללמוד עוד על הנתונים, תוכלו להשתמש בקישור הזה כדי ללמוד עליהם יותר: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "זה מבוסס על הנתונים מ-FreedomIntelligence/medical-o1-reasoning-SFT, המשפרים את היכולת של Phi-4-mini-reasoning להסיק מסקנות על אירועים רפואיים. אם ברצונך ללמוד עוד על הנתונים, תוכל להשתמש בקישור הזה כדי ללמוד עוד עליהם: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", "\n", - "*הערה: אנא השתמשו במכשירי Apple silicon עם זיכרון של 64gb כדי להריץ את הדוגמה הזו*\n" + "*הערה： יש להשתמש במכשירי Apple silicon עם זיכרון של 64GB כדי להריץ דוגמה זו*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **נתונים**\n", "\n", - "אנחנו צריכים לחלק את הנתונים לנתוני אימון ונתוני אימות ולהניח אותם בתיקיית הנתונים. שימו לב ש-apple mlx נותן שמות לנתוני האימון כברירת מחדל. נתוני האימון נקראים train.jsonl ונתוני האימות נקראים valid.json.\n" + "אנחנו צריכים לחלק את הנתונים ל-train ו-valid ולמקם אותם בתיקיית הנתונים. שים לב ש-apple mlx קוראת כברירת מחדל לנתוני האימון בשם train. train נקרא train.jsonl ו-valid נקרא valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -343,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**כתב ויתור**: \nמסמך זה תורגם באמצעות שירות תרגום מבוסס בינה מלאכותית [Co-op Translator](https://github.com/Azure/co-op-translator). בעוד שאנו שואפים לדיוק, יש להיות מודעים לכך שתרגומים אוטומטיים עשויים להכיל שגיאות או אי דיוקים. המסמך המקורי בשפתו המקורית צריך להיחשב כמקור סמכותי. עבור מידע קריטי, מומלץ להשתמש בתרגום מקצועי על ידי אדם. איננו נושאים באחריות לאי הבנות או לפרשנויות שגויות הנובעות משימוש בתרגום זה.\n" + "---\n\n\n**כתב ויתור**:\nמסמך זה תורגם באמצעות שירות תרגום אוטומטי [Co-op Translator](https://github.com/Azure/co-op-translator). למרות שאנו שואפים לדיוק, יש לקחת בחשבון שתרגומים אוטומטיים עלולים להכיל שגיאות או אי-דיוקים. יש להחשיב את המסמך המקורי בשפתו הטבעית כמקור הסמכות. למידע קריטי מומלץ להשתמש בתרגום מקצועי על ידי מתרגם אדם. אנו לא אחראים לכל אי-הבנה או פירוש שגוי הנובע מהשימוש בתרגום זה.\n\n" ] } ], @@ -2687,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:57:59+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "he" } }, "nbformat": 4, diff --git a/translations/hi/.co-op-translator.json b/translations/hi/.co-op-translator.json index e02523371..0712f23fb 100644 --- a/translations/hi/.co-op-translator.json +++ b/translations/hi/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "hi" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:29:41+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "hi" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:54:03+00:00", diff --git a/translations/hi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/hi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index c48fc03c0..da73351a9 100644 --- a/translations/hi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/hi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **नमूना: Apple MLX फ्रेमवर्क के साथ Phi-4-mini-reasoning का फाइन-ट्यूनिंग**\n", + "## **सैंपल : Apple MLX फ्रेमवर्क के साथ Phi-4-mini-reasoning का फाइन-ट्यूनिंग**\n", "\n", - "यह FreedomIntelligence/medical-o1-reasoning-SFT डेटा पर आधारित है, जो Phi-4-mini-reasoning की चिकित्सा घटनाओं के बारे में तर्क करने की क्षमता को बढ़ाता है। यदि आप डेटा के बारे में अधिक जानना चाहते हैं, तो आप इस लिंक का उपयोग करके इसके बारे में अधिक जानकारी प्राप्त कर सकते हैं: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "यह FreedomIntelligence/medical-o1-reasoning-SFT के डेटा पर आधारित है, जो Phi-4-mini-reasoning की चिकित्सकीय घटनाओं के बारे में तर्क करने की क्षमता को बढ़ाता है। यदि आप डेटा के बारे में अधिक जानना चाहते हैं, तो आप इस लिंक का उपयोग करके इसके बारे में अधिक जान सकते हैं: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*नोट: कृपया इस नमूने को चलाने के लिए 64gb मेमोरी वाले Apple सिलिकॉन डिवाइस का उपयोग करें*\n" + "*Note： कृपया इस सैंपल को चलाने के लिए 64gb मेमोरी वाले Apple सिलिकॉन डिवाइस का उपयोग करें*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **डेटा**\n", "\n", - "हमें डेटा को ट्रेन और वैलिड में विभाजित करना होगा और इसे डेटा फोल्डर में रखना होगा। ध्यान दें कि एप्पल mlx डिफ़ॉल्ट रूप से ट्रेनिंग डेटा का नामकरण करता है। ट्रेन का नाम train.jsonl होता है और वैलिड का नाम valid.json होता है।\n" + "हमें डेटा को train और valid में विभाजित करना होगा और उन्हें डेटा फ़ोल्डर में रखना होगा। ध्यान दें कि apple mlx डिफ़ॉल्ट रूप से ट्रेनिंग डेटा का नाम रखता है। train का नाम train.jsonl होता है और valid का नाम valid.json होता है।\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **प्रशिक्षण**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **परीक्षण**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**अस्वीकरण**: \nयह दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) का उपयोग करके अनुवादित किया गया है। जबकि हम सटीकता सुनिश्चित करने का प्रयास करते हैं, कृपया ध्यान दें कि स्वचालित अनुवाद में त्रुटियां या अशुद्धियां हो सकती हैं। मूल भाषा में उपलब्ध मूल दस्तावेज़ को प्रामाणिक स्रोत माना जाना चाहिए। महत्वपूर्ण जानकारी के लिए, पेशेवर मानव अनुवाद की सिफारिश की जाती है। इस अनुवाद के उपयोग से उत्पन्न किसी भी गलतफहमी या गलत व्याख्या के लिए हम जिम्मेदार नहीं हैं।\n" + "---\n\n\n**अस्वीकरण**:\nइस दस्तावेज़ का अनुवाद AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) का उपयोग करके किया गया है। जबकि हम सटीकता के लिए प्रयास करते हैं, कृपया ध्यान दें कि स्वचालित अनुवादों में त्रुटियाँ या अशुद्धियाँ हो सकती हैं। मूल दस्तावेज़ अपनी मूल भाषा में ही प्रामाणिक स्रोत माना जाना चाहिए। महत्वपूर्ण जानकारी के लिए, पेशेवर मानव अनुवाद की सिफारिश की जाती है। इस अनुवाद के उपयोग से उत्पन्न किसी भी गलतफहमी या गलत व्याख्या के लिए हम उत्तरदायी नहीं हैं।\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T15:11:50+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "hi" } }, "nbformat": 4, diff --git a/translations/hr/.co-op-translator.json b/translations/hr/.co-op-translator.json index 96417cac6..0a42b57f0 100644 --- a/translations/hr/.co-op-translator.json +++ b/translations/hr/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "hr" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:04:12+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "hr" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:59:23+00:00", diff --git a/translations/hr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/hr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 01a0ace77..c58461df3 100644 --- a/translations/hr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/hr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Primjer: fino podešavanje Phi-4-mini-reasoning s Apple MLX Frameworkom**\n", + "## **Primjer: fino podešavanje Phi-4-mini-reasoning s Apple MLX Framework-om**\n", "\n", - "Ovo se temelji na podacima iz FreedomIntelligence/medical-o1-reasoning-SFT, koji poboljšavaju sposobnost Phi-4-mini-reasoning za zaključivanje o medicinskim događajima. Ako želite saznati više o podacima, možete koristiti ovaj link za dodatne informacije: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Ovo se temelji na podacima iz FreedomIntelligence/medical-o1-reasoning-SFT, koji poboljšavaju sposobnost Phi-4-mini-reasoning za zaključivanje o medicinskim događajima. Ako želite saznati više o podacima, možete koristiti ovaj link za dodatne informacije: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", "\n", - "*Napomena: Molimo koristite Apple silicon uređaje s 64 GB memorije za pokretanje ovog primjera*\n" + "*Napomena: Molimo koristite Apple silicon uređaje s 64GB memorije za pokretanje ovog primjera*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Podaci**\n", "\n", - "Moramo podijeliti podatke na train i valid te ih smjestiti u mapu podataka. Imajte na umu da apple mlx prema zadanim postavkama imenuje podatke za treniranje. train se zove train.jsonl, a valid se zove valid.json.\n" + "Moramo podijeliti podatke na train i valid te ih smjestiti u mapu data. Imajte na umu da apple mlx zadano imenuje podatke za treniranje. train se naziva train.jsonl, a valid se naziva valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Trening**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testiranje**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Odricanje od odgovornosti**: \nOvaj dokument je preveden pomoću AI usluge za prevođenje [Co-op Translator](https://github.com/Azure/co-op-translator). Iako nastojimo osigurati točnost, imajte na umu da automatski prijevodi mogu sadržavati pogreške ili netočnosti. Izvorni dokument na izvornom jeziku treba smatrati autoritativnim izvorom. Za ključne informacije preporučuje se profesionalni prijevod od strane čovjeka. Ne preuzimamo odgovornost za bilo kakva nesporazuma ili pogrešna tumačenja koja proizlaze iz korištenja ovog prijevoda.\n" + "---\n\n\n**Napomena**:\nOvaj dokument je preveden korištenjem AI prevoditeljskog servisa [Co-op Translator](https://github.com/Azure/co-op-translator). Iako težimo točnosti, imajte na umu da automatski prijevodi mogu sadržavati greške ili netočnosti. Izvorni dokument na izvornom jeziku treba smatrati autoritativnim izvorom. Za važne informacije preporuča se profesionalni ljudski prijevod. Nismo odgovorni za bilo kakva nesporazumevanja ili pogrešne interpretacije koje proizlaze iz korištenja ovog prijevoda.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-13T05:46:23+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "hr" } }, "nbformat": 4, diff --git a/translations/hu/.co-op-translator.json b/translations/hu/.co-op-translator.json index dbdf0143b..477435147 100644 --- a/translations/hu/.co-op-translator.json +++ b/translations/hu/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "hu" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:58:38+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "hu" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:58:17+00:00", diff --git a/translations/hu/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/hu/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index ff6ec93a3..db36bf5e9 100644 --- a/translations/hu/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/hu/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -6,9 +6,9 @@ "source": [ "## **Minta: Phi-4-mini-reasoning finomhangolása az Apple MLX keretrendszerrel**\n", "\n", - "Ez a FreedomIntelligence/medical-o1-reasoning-SFT adatain alapul, amely javítja a Phi-4-mini-reasoning képességét az orvosi eseményekről való érvelésben. Ha többet szeretnél megtudni az adatról, ezen a linken keresztül tájékozódhatsz: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Ez a FreedomIntelligence/medical-o1-reasoning-SFT adatain alapul, amely javítja a Phi-4-mini-reasoning orvosi eseményekről való érvelési képességét. Ha többet szeretnél megtudni az adatokról, ezt a linket használhatod: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Megjegyzés: Kérjük, használj 64 GB memóriával rendelkező Apple silicon eszközöket ennek a mintának a futtatásához.*\n" + "*Megjegyzés: Kérjük, 64 GB memóriával rendelkező Apple silicon eszközöket használj ennek a mintának a futtatásához*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Adatok**\n", "\n", - "Az adatokat fel kell osztanunk train és valid részekre, majd el kell helyeznünk az adat mappában. Fontos megjegyezni, hogy az apple mlx alapértelmezés szerint nevezi el a tanítási adatokat. A train fájl neve train.jsonl, míg a valid fájl neve valid.json.\n" + "Az adatokat el kell osztanunk train és valid részre, és a data mappába kell helyeznünk őket. Vegyük figyelembe, hogy az apple mlx alapértelmezés szerint a tanító adatokat nevezi el. A train a train.jsonl nevet kapja, a valid pedig a valid.json nevet.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Képzés**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Tesztelés**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Felelősség kizárása**: \nEz a dokumentum az AI fordítási szolgáltatás, a [Co-op Translator](https://github.com/Azure/co-op-translator) segítségével lett lefordítva. Bár törekszünk a pontosságra, kérjük, vegye figyelembe, hogy az automatikus fordítások hibákat vagy pontatlanságokat tartalmazhatnak. Az eredeti dokumentum az eredeti nyelvén tekintendő hiteles forrásnak. Fontos információk esetén javasolt professzionális emberi fordítást igénybe venni. Nem vállalunk felelősséget semmilyen félreértésért vagy téves értelmezésért, amely a fordítás használatából eredhet.\n" + "---\n\n\n**Jogi nyilatkozat**:\nEz a dokumentum az AI fordítási szolgáltatás, a [Co-op Translator](https://github.com/Azure/co-op-translator) segítségével készült. Bár az pontosságra törekszünk, kérjük, vegye figyelembe, hogy az automatikus fordítások hibákat vagy pontatlanságokat tartalmazhatnak. Az eredeti dokumentum az anyanyelvén tekintendő hiteles forrásnak. Fontos információk esetén professzionális emberi fordítást javasolunk. Nem vállalunk felelősséget semmilyen félreértésért vagy téves értelmezésért, amely ebből a fordításból ered.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-13T05:45:37+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "hu" } }, "nbformat": 4, diff --git a/translations/id/.co-op-translator.json b/translations/id/.co-op-translator.json index 24aacdd5f..baf6e2c39 100644 --- a/translations/id/.co-op-translator.json +++ b/translations/id/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "id" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:15:26+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "id" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:57:36+00:00", diff --git a/translations/id/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/id/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 76623e6fe..ffd059fb1 100644 --- a/translations/id/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/id/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Contoh: fine-tuning Phi-4-mini-reasoning dengan Apple MLX Framework**\n", + "## **Contoh : fine-tuning Phi-4-mini-reasoning dengan Apple MLX Framewrok**\n", "\n", - "Ini didasarkan pada data dari FreedomIntelligence/medical-o1-reasoning-SFT, yang meningkatkan kemampuan Phi-4-mini-reasoning untuk memahami dan memberikan penalaran tentang kejadian medis. Jika Anda ingin mempelajari lebih lanjut tentang data tersebut, Anda dapat menggunakan tautan ini untuk mempelajarinya lebih lanjut: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Ini didasarkan pada data dari FreedomIntelligence/medical-o1-reasoning-SFT, yang meningkatkan kemampuan Phi-4-mini-reasoning untuk melakukan penalaran tentang kejadian medis. Jika Anda ingin mempelajari lebih lanjut tentang data tersebut, Anda dapat menggunakan tautan ini untuk mempelajarinya lebih lanjut: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Catatan: Harap gunakan perangkat Apple silicon dengan memori 64gb untuk menjalankan contoh ini*\n" + "*Catatan： Harap gunakan perangkat Apple silicon dengan memori 64gb untuk menjalankan contoh ini*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Data**\n", "\n", - "Kita perlu membagi data menjadi train dan valid, lalu menempatkannya di folder data. Perlu diperhatikan bahwa apple mlx secara default menamai data pelatihan. train dinamai train.jsonl dan valid dinamai valid.json.\n" + "Kita perlu membagi data menjadi train dan valid dan menaruhnya di folder data. Perlu dicatat bahwa apple mlx secara default memberi nama data pelatihan. train dinamai train.jsonl dan valid dinamai valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Pelatihan**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Pengujian**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Penafian**: \nDokumen ini telah diterjemahkan menggunakan layanan penerjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berusaha untuk memberikan hasil yang akurat, harap diingat bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang otoritatif. Untuk informasi yang bersifat kritis, disarankan menggunakan jasa penerjemahan profesional oleh manusia. Kami tidak bertanggung jawab atas kesalahpahaman atau penafsiran yang keliru yang timbul dari penggunaan terjemahan ini.\n" + "---\n\n\n**Penafian**:\nDokumen ini telah diterjemahkan menggunakan layanan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Meskipun kami berupaya untuk mencapai akurasi, harap diketahui bahwa terjemahan otomatis mungkin mengandung kesalahan atau ketidakakuratan. Dokumen asli dalam bahasa aslinya harus dianggap sebagai sumber yang sah. Untuk informasi penting, disarankan menggunakan terjemahan profesional oleh manusia. Kami tidak bertanggung jawab atas kesalahpahaman atau penafsiran yang keliru yang timbul dari penggunaan terjemahan ini.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:58:14+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "id" } }, "nbformat": 4, diff --git a/translations/it/.co-op-translator.json b/translations/it/.co-op-translator.json index 99a750328..326137b98 100644 --- a/translations/it/.co-op-translator.json +++ b/translations/it/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "it" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:53:26+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "it" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:55:29+00:00", diff --git a/translations/it/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/it/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index a15bd3dce..20182989f 100644 --- a/translations/it/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/it/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Esempio: ottimizzazione di Phi-4-mini-reasoning con il framework Apple MLX**\n", + "## **Esempio: affinamento di Phi-4-mini-reasoning con Apple MLX Framework**\n", "\n", "Questo si basa sui dati di FreedomIntelligence/medical-o1-reasoning-SFT, che migliorano la capacità di Phi-4-mini-reasoning di ragionare sugli eventi medici. Se vuoi saperne di più sui dati, puoi utilizzare questo link per approfondire: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Nota: Si prega di utilizzare dispositivi Apple silicon con 64gb di memoria per eseguire questo esempio*\n" + "*Nota: si prega di utilizzare dispositivi Apple silicon con 64 GB di memoria per eseguire questo esempio*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Dati**\n", "\n", - "Dobbiamo dividere i dati in train e valid e posizionarli nella cartella dei dati. Nota che apple mlx assegna automaticamente i nomi ai dati di addestramento. train è chiamato train.jsonl e valid è chiamato valid.json.\n" + "Dobbiamo dividere i dati in train e valid e collocarli nella cartella data. Nota che apple mlx denomina i dati di addestramento per default. train è chiamato train.jsonl e valid è chiamato valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Allenamento**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Test**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Disclaimer**: \nQuesto documento è stato tradotto utilizzando il servizio di traduzione automatica [Co-op Translator](https://github.com/Azure/co-op-translator). Sebbene ci impegniamo per garantire l'accuratezza, si prega di notare che le traduzioni automatiche possono contenere errori o imprecisioni. Il documento originale nella sua lingua nativa dovrebbe essere considerato la fonte autorevole. Per informazioni critiche, si raccomanda una traduzione professionale effettuata da un traduttore umano. Non siamo responsabili per eventuali fraintendimenti o interpretazioni errate derivanti dall'uso di questa traduzione.\n" + "---\n\n\n**Disclaimer**:\nQuesto documento è stato tradotto utilizzando il servizio di traduzione AI [Co-op Translator](https://github.com/Azure/co-op-translator). Sebbene ci impegniamo per garantire la precisione, si prega di notare che le traduzioni automatizzate possono contenere errori o imprecisioni. Il documento originale nella sua lingua nativa deve essere considerato la fonte autorevole. Per informazioni critiche, si raccomanda una traduzione professionale effettuata da un essere umano. Non siamo responsabili per eventuali malintesi o interpretazioni errate derivanti dall’uso di questa traduzione.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T18:37:56+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "it" } }, "nbformat": 4, diff --git a/translations/ja/.co-op-translator.json b/translations/ja/.co-op-translator.json index 9b5cfb867..b54e16c15 100644 --- a/translations/ja/.co-op-translator.json +++ b/translations/ja/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "ja" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:29:21+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "ja" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:53:42+00:00", diff --git a/translations/ja/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/ja/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 5976450fd..7e70ae967 100644 --- a/translations/ja/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/ja/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **サンプル: Phi-4-mini-reasoningのApple MLXフレームワークによる微調整**\n", + "## **サンプル : Apple MLX フレームワークを使用した Phi-4-mini-reasoning のファインチューニング**\n", "\n", - "これは、FreedomIntelligence/medical-o1-reasoning-SFTのデータに基づいており、Phi-4-mini-reasoningの医療イベントに関する推論能力を向上させます。データについて詳しく知りたい場合は、以下のリンクを使用して詳細を確認できます: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "これは FreedomIntelligence/medical-o1-reasoning-SFT のデータに基づいており、Phi-4-mini-reasoning の医療イベントに関する推論能力を向上させます。データの詳細を知りたい場合は、こちらのリンクからご覧ください：https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*注：このサンプルを実行するには、64GBメモリのAppleシリコンデバイスを使用してください*\n" + "*注意：このサンプルを実行するには、64GB メモリ搭載の Apple シリコンデバイスを使用してください*\n" ] }, { @@ -77,9 +77,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **データ**\n", + "### データ\n", "\n", - "データを訓練用と検証用に分けて、dataフォルダに配置する必要があります。なお、apple mlxはデフォルトで訓練データに名前を付けます。訓練用データはtrain.jsonl、検証用データはvalid.jsonと名付けられています。\n" + "データをtrainとvalidに分割し、dataフォルダーに配置する必要があります。apple mlxはデフォルトでトレーニングデータの名前を付けます。trainはtrain.jsonl、validはvalid.jsonという名前になります。\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### トレーニング\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### テスト\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**免責事項**: \nこの文書は、AI翻訳サービス [Co-op Translator](https://github.com/Azure/co-op-translator) を使用して翻訳されています。正確性を追求しておりますが、自動翻訳には誤りや不正確な部分が含まれる可能性があることをご承知ください。元の言語で記載された文書が正式な情報源とみなされるべきです。重要な情報については、専門の人間による翻訳を推奨します。この翻訳の使用に起因する誤解や誤解釈について、当社は責任を負いません。\n" + "---\n\n\n**免責事項**：\n本書類は AI 翻訳サービス [Co-op Translator](https://github.com/Azure/co-op-translator) を使用して翻訳されています。正確性を期していますが、自動翻訳には誤りや不正確な部分が含まれる可能性があることをご承知おきください。原文の原語版が正式な情報源とみなされるべきです。重要な情報については、専門の人間による翻訳を推奨します。本翻訳の利用により生じたいかなる誤解や解釈違いについても、当方は責任を負いかねます。\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T15:10:54+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "ja" } }, "nbformat": 4, diff --git a/translations/km/.co-op-translator.json b/translations/km/.co-op-translator.json index e1e48f8b8..0ecd3b58f 100644 --- a/translations/km/.co-op-translator.json +++ b/translations/km/.co-op-translator.json @@ -672,8 +672,8 @@ "language_code": "km" }, "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2026-04-20T16:24:39+00:00", + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:56:07+00:00", "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", "language_code": "km" }, diff --git a/translations/km/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/km/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 038f36895..d3f894e3d 100644 --- a/translations/km/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/km/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **ឧទាហរណ៍ : fine-tuning Phi-4-mini-reasoning ជាមួយ Apple MLX Framewrok**\n", + "## **គំរូ​៖ ការតម្រុយល្អប្រសើរដល់ Phi-4-mini-reasoning ជាមួយ Apple MLX Framewrok**\n", "\n", - "នេះផ្អែកលើទិន្នន័យពី FreedomIntelligence/medical-o1-reasoning-SFT, ដែលបានពង្រឹងសមត្ថភាពរបស់ Phi-4-mini-reasoning ក្នុងការគិតវិភាគអំពីព្រឹត្តិការណ៍វេជ្ជសាស្ត្រ។ ប្រសិនបើអ្នកចង់ស្វែងយល់បន្ថែមអំពីទិន្នន័យនេះ អ្នកអាចប្រើតំណភ្ជាប់នេះដើម្បីស្វែងយល់បន្ថែម៖ https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "នេះគឺផ្អែកលើទិន្នន័យពី FreedomIntelligence/medical-o1-reasoning-SFT ដែលបង្កើនសមត្ថភាពរបស់ Phi-4-mini-reasoning ក្នុងការគិតថ្លែងអំពីព្រឹត្តិការណ៍វេជ្ជសាស្ត្រ។ ប្រសិនបើអ្នកចង់រៀនបន្ថែមអំពីទិន្នន័យ អ្នកអាចប្រើតំណនេះដើម្បីស្វែងយល់បន្ថែម៖ https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", "\n", - "*ចំណាំ： សូមប្រើឧបករណ៍ Apple silicon ដែលមានចងចាំ 64gb ដើម្បីរត់ឧទាហរណ៍នេះ*\n" + "*ចំណាំ៖ សូមប្រើឧបករណ៍ Apple silicon ជាមួយម៉េម៉ូរី 64gb ដើម្បីរត់គំរូនេះ*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **ទិន្នន័យ**\n", "\n", - "យើងត្រូវបែងចែកទិន្នន័យទៅជា train និង valid ហើយដាក់វាទៅក្នុងថត data។ សូមចំណាំថា apple mlx នឹងដាក់ឈ្មោះសម្រាប់ទិន្នន័យបណ្តុះបណ្តាលដោយលំនាំដើម។ train មានឈ្មោះជា train.jsonl និង valid មានឈ្មោះជា valid.json\n" + "យើងត្រូវបំបែកទិន្នន័យចេញជា train និង valid ហើយដាក់វាទៅក្នុងថតទិន្នន័យ។ សូមចំណាំថា apple mlx មានការដាក់ឈ្មោះទិន្នន័យបណ្ដុះបណ្ដាលដោយលំនាំដើម។ train គឺមានឈ្មោះជា train.jsonl និង valid គឺមានឈ្មោះជា valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -239,7 +241,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **ការបណ្តុះបណ្ដាល**\n" + "### **ការបណ្តុះបណ្តាល**\n" ] }, { @@ -282,7 +284,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **ការសាកល្បង**\n" + "### **ការធ្វើតេស្ត**\n" ] }, { @@ -343,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "---\n\n\n**Disclaimer**:\nឯកសារនេះត្រូវបានបកប្រែដោយប្រើសេវាកម្មបកប្រែ AI [Co-op Translator](https://github.com/Azure/co-op-translator). ខណៈពេលយើងខិតខំស្វែងរកភាពត្រឹមត្រូវ សូមកត់សម្គាល់ថាការបកប្រែដោយស្វ័យប្រវត្តិអាចមានកំហុស ឬភាពមិនត្រឹមត្រូវ។ សូមយោងឯកសារដើមក្នុងភាសាដើមរបស់វា ដោយឯកសារដែលនៅក្នុងភាសាដើមគួរត្រូវបានចាត់ទុកជា​ប្រភពផ្លូវការចម្បង។ សម្រាប់ព័ត៌មានសំខាន់ៗ គួរតែប្រើការបកប្រែដោយអ្នកជំនាញមនុស្សវិជ្ជាជីវៈ។ យើងមិនទទួលខុសត្រូវចំពោះការយល់ច្រឡំ ឬការបកស្រាយមិនត្រឹមត្រូវណាមួយដែលកើតមានពីការប្រើប្រាស់ការបកប្រែនេះទេ។\n\n" + "---\n\n\n**ការបដិសេធ**:\nឯកសារនេះត្រូវបានបម្លែងភាសា ដោយប្រើសេវាបម្លែងភាសា AI [Co-op Translator](https://github.com/Azure/co-op-translator)។ ទោះយើងខ្ញុំមានក្តីប្រាថ្នាឱ្យបានច្បាស់លាស់ តែសូមយល់ដឹងថាការបម្លែងដោយស្វ័យប្រវត្តិក៏អាចមានកំហុសឬភាពមិនត្រឹមត្រូវ។ ឯកសារដើមជាភាសាទីតាំងគួរត្រូវបានគេប្រើជាប្រភពច្បាស់លាស់។ សម្រាប់ព័ត៌មានសំខាន់ៗ សូមណែនាំឱ្យប្រើប្រាស់ការប្រែដោយមនុស្សជំនាញ។ យើងខ្ញុំមិនទទួលខុសត្រូវចំពោះការយល់ច្រឡំ ឬការបកស្រាយខុសបន្ទាប់ពីការប្រើប្រាស់ការបម្លែងនេះនោះទេ។\n\n" ] } ], diff --git a/translations/kn/.co-op-translator.json b/translations/kn/.co-op-translator.json index ab0117493..67d11c35e 100644 --- a/translations/kn/.co-op-translator.json +++ b/translations/kn/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "kn" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:10:07+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "kn" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-12-21T22:02:44+00:00", diff --git a/translations/kn/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/kn/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 82a4075ca..33b36c652 100644 --- a/translations/kn/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/kn/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **ಉದಾಹರಣೆ : ಫೈನ್-ಟ್ಯೂನಿಂಗ್ Phi-4-mini-reasoning ಜೊತೆಗೆ Apple MLX Framewrok**\n", + "## **ನಮೂನೆ : Phi-4-mini-reasoning ಅನ್ನು Apple MLX ಫ್ರೇಮ್ವರ್ಕ್ ಮೂಲಕ fijn-ట్యూనಿಂಗ್ ಮಾಡುವುದು**\n", "\n", - "ಇದು FreedomIntelligence/medical-o1-reasoning-SFT ನಿಂದಲಿರುವ ಡೇಟಾದ ಮೇಲೆಯಾಗಿ ಆಧಾರಿತವಾಗಿದೆ, ಇದು Phi-4-mini-reasoning ರ ವೈದ್ಯಕೀಯ ಘಟನೆಗಳ ಕುರಿತು ತರ್ಕ ಮಾಡುವ ಸಾಮರ್ಥ್ಯವನ್ನು ಹೆಚ್ಚಿಸುತ್ತದೆ. ದತ್ತಾಂಶದ ಬಗ್ಗೆ ಹೆಚ್ಚಿನ ಮಾಹಿತಿ ತಿಳಿಯಲು, ನೀವು ಈ ಲಿಂಕ್ ಅನ್ನು ಬಳಸಬಹುದು: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "ಇದು FreedomIntelligence/medical-o1-reasoning-SFT ನಿಂದ ಪಡೆದ ಡೇಟಾ ಆಧಾರಿತವಾಗಿದೆ, ಇದು Phi-4-mini-reasoning ನ ವೈದ್ಯಕೀಯ ಘಟನೆಗಳ ಬಗ್ಗೆ ತರ್ಕ ಮಾಡುವ ಸಾಮರ್ಥ್ಯವನ್ನು ಸುಧಾರಿಸುತ್ತದೆ. ನೀವು ಡೇಟಾ ಕುರಿತು ಹೆಚ್ಚಿನ ಮಾಹಿತಿ ತಿಳಿಯಬೇಕು ಆದರೆ, ಈ ಲಿಂಕ್ ಬಳಸಿ ಅದನ್ನು ತಿಳಿದುಕೊಳ್ಳಬಹುದು: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*ಗಮನಿಸಿ： ದಯವಿಟ್ಟು ಈ ಉದಾಹರಣೆಯನ್ನು ಓಡಿಸಲು 64gb ಮೆಮರಿ Apple silicon ಸಾಧನಗಳನ್ನು ಬಳಸಿ*\n" + "*ಗಮನಿಸಿ： ಈ నమೂನೆಯನ್ನು ನಡಿಸುವುದಕ್ಕಾಗಿ 64GB ಮೆಮೊರಿ Apple ಸಿಲಿಕಾನ್ ಸಾಧನಗಳನ್ನು ಬಳಸಿ*\n" ] }, { @@ -77,9 +77,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **Data**\n", + "### **ಡೇಟಾ**\n", "\n", - "ನಾವು data ಅನ್ನು train ಮತ್ತು valid ಗೆ ವಿಭಜಿಸಿ data folder ನಲ್ಲಿ ಇರಿಸಬೇಕು. ಗಮನಿಸಿ apple mlx ಡೀಫಾಲ್ಟ್ ಆಗಿ ತರಬೇತಿ ಡೇಟಾದನ್ನು ಹೆಸರಿಸುತ್ತದೆ. train ಅನ್ನು train.jsonl ಎಂದು ಹೆಸರಿಸಲಾಗಿದೆ ಮತ್ತು valid ಅನ್ನು valid.json\n" + "ನಾವು ಡೇಟಾವನ್ನು ಪ್ರಾರಂಭ ಮತ್ತು ಮಾನ್ಯತೆಗಾಗಿ ವಿಭಾಗಿಸಬೇಕು ಮತ್ತು ಅವುಗಳನ್ನು ಡೇಟಾ ಫೋಲ್ಡರ್‌ನಲ್ಲಿ ಇರಿಸಬೇಕು. apple mlx ಸಾಧಾರಣವಾಗಿ ತರಬೇತಿ ಡೇಟಾವನ್ನು ಹೆಸರುಮಾಡುತ್ತದೆ. train ಅನ್ನು train.jsonl ಎಂದು ಮತ್ತು valid ಅನ್ನು valid.json ಎಂದು ಹೆಸರು ಮಾಡಲಾಗಿದೆ.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -239,7 +241,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **ಪ್ರಶಿಕ್ಷಣ**\n" + "### **ತರಬೇತಿ**\n" ] }, { @@ -282,7 +284,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **ಪರೀಕ್ಷೆ**\n" + "### **ಪರೀಕ್ಷಣೆ**\n" ] }, { @@ -343,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "---\n\n\nಅಸ್ವೀಕರಣ:\nಈ ದಾಖಲೆ AI ಅನುವಾದ ಸೇವೆ [Co-op Translator](https://github.com/Azure/co-op-translator) ಬಳಸಿ ಅನುವದಿಸಲಾಗಿದೆ. ನಾವು ನಿಖರತೆಗೆ ಪ್ರಯತ್ನಿಸಿದರೂ, ದಯವಿಟ್ಟು ಗಮನಿಸಿ—ಸ್ವಯಂಚಾಲಿತ ಅನುವಾದಗಳಲ್ಲಿ ದೋಷಗಳು ಅಥವಾ ಅನಿಖರತೆಗಳಿರಬಹುದು. ಮೂಲ ಭಾಷೆಯಲ್ಲಿರುವ ಮೂಲ ದಾಖಲೆಗಳನ್ನು ಅಧಿಕಾರಸಿದ್ಧ ಅಥವಾ ಅಧಿಕೃತ ಮೂಲವೆಂದು ಪರಿಗಣಿಸಬೇಕು. ಗಂಭೀರ ಮಾಹಿತಿಗಾಗಿ ವೃತ್ತಿಪರ ಮಾನವ ಅನುವಾದವನ್ನು ಶಿಫಾರಸು ಮಾಡಲಾಗಿದೆ. ಈ ಅನುವಾದದ ಬಳಕೆಯಿಂದ ಉಂಟಾಗುವ ಯಾವುದೇ ಅರ್ಥಭ್ರಂಶಗಳು ಅಥವಾ ತಪ್ಪು ವ್ಯಾಖ್ಯಾನಗಳಿಗಾಗಿ ನಾವು ಜವಾಬ್ದಾರಿಯಾಗುವುದಿಲ್ಲ.\n\n" + "---\n\n\n**ಅಸ್ವೀಕಾರ**:\nಈ ದಸ್ತಾವೇಜು AI ಅನುವಾದ ಸೇವೆ [Co-op Translator](https://github.com/Azure/co-op-translator) ಬಳಸಿ ಅನುವಾದಿಸಲಾಗಿದೆ. ನಾವು ನಿಖರತೆಯನ್ನು ಸಾಧಿಸಲು ಪ್ರಯತ್ನಿಸುತ್ತಿದ್ದರೂ, ದಯವಿಟ್ಟು ಗಮನಿಸಿ, ಸ್ವಯಂಚಾಲಿತ ಅನುವಾದಗಳಲ್ಲಿ ದೋಷಗಳು ಅಥವಾ ಅಸಡ್ಡೆಗಳು ಇರಬಹುದು. ಮೂಲ ಭಾಷೆಯಲ್ಲಿರುವ ಮೂಲ ದಸ್ತಾವೇಜು ಪ್ರಾಮಾಣಿಕ ಮೂಲವೆಂದು ಪರಿಗಣಿಸಬೇಕು. ಪ್ರಮುಖ ಮಾಹಿತಿಗಾಗಿ, ವೃತ್ತಿಪರ ಮಾನವ ಅನುವಾದವನ್ನು ಶಿಫಾರಸು ಮಾಡಲಾಗುತ್ತದೆ. ಈ ಅನುವಾದವನ್ನು ಬಳಸುವ ಮೂಲಕ ಉಂಟಾಗುವ ಯಾವುದೇ ತಪ್ಪು ಅರ್ಥಗಳ ಅಥವಾ ತಪ್ಪು ವ್ಯಾಖ್ಯಾನಗಳ ಬಗ್ಗೆ ನಾವು ಹೊಣೆಗಾರರಲ್ಲ.\n\n" ] } ], @@ -2687,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-12-22T10:14:08+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "kn" } }, "nbformat": 4, diff --git a/translations/ko/.co-op-translator.json b/translations/ko/.co-op-translator.json index 8d772c1f0..b17bf141e 100644 --- a/translations/ko/.co-op-translator.json +++ b/translations/ko/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "ko" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:29:30+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "ko" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:53:52+00:00", diff --git a/translations/ko/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/ko/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 26e167cf3..43e1a25e4 100644 --- a/translations/ko/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/ko/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **샘플 : Apple MLX 프레임워크를 사용한 Phi-4-mini-reasoning의 파인 튜닝**\n", + "## **샘플 : Apple MLX 프레임워크로 Phi-4-mini-reasoning 미세 조정하기**\n", "\n", - "이 샘플은 FreedomIntelligence/medical-o1-reasoning-SFT 데이터에 기반을 두고 있으며, Phi-4-mini-reasoning의 의료 이벤트 추론 능력을 향상시킵니다. 데이터에 대해 더 알고 싶다면, 다음 링크를 통해 자세히 알아볼 수 있습니다: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "이 샘플은 의료 이벤트에 대해 추론하는 Phi-4-mini-reasoning의 능력을 향상시키는 FreedomIntelligence/medical-o1-reasoning-SFT 데이터에 기반합니다. 데이터에 대해 더 알고 싶다면, 이 링크를 통해 자세히 알아볼 수 있습니다: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*참고: 이 샘플을 실행하려면 64gb 메모리를 가진 Apple 실리콘 디바이스를 사용하세요.*\n" + "*참고: 이 샘플을 실행하려면 64GB 메모리 Apple 실리콘 기기를 사용하세요*\n" ] }, { @@ -77,9 +77,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **데이터**\n", + "### 데이터\n", "\n", - "데이터를 train과 valid로 나누어 data 폴더에 저장해야 합니다. apple mlx는 기본적으로 학습 데이터를 이름 지정합니다. train은 train.jsonl로, valid는 valid.json으로 이름이 지정됩니다.\n" + "데이터를 train과 valid로 나누어 data 폴더에 배치해야 합니다. apple mlx는 기본적으로 학습 데이터를 이름 지정한다는 점에 유의하세요. train은 train.jsonl로, valid는 valid.json으로 이름이 지정됩니다.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### 훈련\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### 테스트\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**면책 조항**: \n이 문서는 AI 번역 서비스 [Co-op Translator](https://github.com/Azure/co-op-translator)를 사용하여 번역되었습니다. 정확성을 위해 최선을 다하고 있으나, 자동 번역에는 오류나 부정확성이 포함될 수 있습니다. 원본 문서의 원어 버전을 신뢰할 수 있는 권위 있는 자료로 간주해야 합니다. 중요한 정보의 경우, 전문적인 인간 번역을 권장합니다. 이 번역 사용으로 인해 발생하는 오해나 잘못된 해석에 대해 당사는 책임을 지지 않습니다.\n" + "---\n\n\n**면책 조항**:\n이 문서는 AI 번역 서비스 [Co-op Translator](https://github.com/Azure/co-op-translator)를 사용하여 번역되었습니다. 정확성을 기하기 위해 노력하고 있으나, 자동 번역은 오류나 부정확한 부분이 있을 수 있음을 유의하시기 바랍니다. 원본 문서의 원어본이 권위 있는 자료로 간주되어야 합니다. 중요한 정보의 경우, 전문가의 인간 번역을 권장합니다. 이 번역 사용으로 인해 발생하는 오해나 잘못된 해석에 대해 당사는 책임을 지지 않습니다.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T15:11:02+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "ko" } }, "nbformat": 4, diff --git a/translations/lt/.co-op-translator.json b/translations/lt/.co-op-translator.json index 047fded25..ce5046de9 100644 --- a/translations/lt/.co-op-translator.json +++ b/translations/lt/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "lt" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:12:59+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "lt" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-09-12T14:37:44+00:00", diff --git a/translations/lt/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/lt/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 83f154150..b757083e4 100644 --- a/translations/lt/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/lt/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Pavyzdys : tinkinimas Phi-4-mini-reasoning su Apple MLX Framewrok**\n", + "## **Pavyzdys: fine-tuning Phi-4-mini-reasoning su Apple MLX Framework**\n", "\n", - "Tai pagrįsta duomenimis iš FreedomIntelligence/medical-o1-reasoning-SFT, kurie pagerina Phi-4-mini-reasoning gebėjimą svarstyti apie medicininius įvykius. Jei norite sužinoti daugiau apie duomenis, galite pasinaudoti šia nuoroda: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Tai pagrįsta duomenimis iš FreedomIntelligence/medical-o1-reasoning-SFT, kurie pagerina Phi-4-mini-reasoning gebėjimą spręsti apie medicinines situacijas. Jei norite sužinoti daugiau apie šiuos duomenis, galite pasinaudoti šia nuoroda: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Pastaba： Paleiskite šį pavyzdį naudodami Apple silicon įrenginius su 64gb atminties*\n" + "*Pastaba: prašome naudoti Apple silikoninius įrenginius su 64 GB atmintimi, kad paleistumėte šį pavyzdį*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Duomenys**\n", "\n", - "Reikia padalinti duomenis į train ir valid ir patalpinti juos data aplanke. Atkreipkite dėmesį, kad apple mlx pagal nutylėjimą pavadina mokymo duomenis. train yra pavadintas train.jsonl ir valid yra pavadintas valid.json\n" + "Reikia padalinti duomenis į train ir valid ir juos įdėti į data aplanką. Atkreipkite dėmesį, kad apple mlx pagal numatytuosius nustatymus treniruočių duomenis pavadina. train vadinamas train.jsonl ir valid vadinamas valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -343,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "---\n\n\nAtsakomybės apribojimas:\n\nŠis dokumentas buvo išverstas naudojant dirbtinio intelekto vertimo paslaugą Co-op Translator (https://github.com/Azure/co-op-translator). Nors siekiame tikslumo, prašome atkreipti dėmesį, kad automatizuoti vertimai gali turėti klaidų arba netikslumų. Originalus dokumentas jo gimtąja kalba turėtų būti laikomas autoritetingu šaltiniu. Svarbios informacijos atveju rekomenduojame naudotis profesionalaus vertėjo paslaugomis. Mes neatsakome už bet kokius nesusipratimus ar neteisingus aiškinimus, kilusius dėl šio vertimo naudojimo.\n\n" + "---\n\n\n**Atsakomybės apribojimas**:\nŠis dokumentas buvo išverstas naudojant dirbtinio intelekto vertimo paslaugą [Co-op Translator](https://github.com/Azure/co-op-translator). Nors siekiame tikslumo, prašome atkreipti dėmesį, kad automatiniai vertimai gali turėti klaidų ar netikslumų. Originalus dokumentas jo gimtąja kalba laikomas autoritetingu šaltiniu. Svarbiai informacijai rekomenduojama naudoti profesionalų žmogiškąjį vertimą. Mes neatsakome už jokius nesusipratimus ar neteisingą interpretaciją, kilusią naudojantis šiuo vertimu.\n\n" ] } ], @@ -2687,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-12-22T10:07:18+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "lt" } }, "nbformat": 4, diff --git a/translations/ml/.co-op-translator.json b/translations/ml/.co-op-translator.json index a72ac5b08..67009daf1 100644 --- a/translations/ml/.co-op-translator.json +++ b/translations/ml/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "ml" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:09:57+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "ml" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-12-21T22:01:57+00:00", diff --git a/translations/ml/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/ml/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index ce46abea1..8043c13e4 100644 --- a/translations/ml/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/ml/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **സാമ്പിൾ : Phi-4-mini-reasoning ന് Apple MLX Framewrok ഉപയോഗിച്ച് ഫൈൻ-ട്യൂണിംഗ്**\n", + "## **സാമ്പിൾ : Apple MLX ഫ്രെയിംവർക്കുമായി Phi-4-mini-reasoning fino-tuning**\n", "\n", - "ഇത് FreedomIntelligence/medical-o1-reasoning-SFT എന്ന ഡാറ്റാസെറ്റിലെ ഡേറ്റയെ അടിസ്ഥാനമാക്കിയതാണ്, ഇത് Phi-4-mini-reasoning നിർദ്ദേശിച്ച മെഡിക്കൽ സംഭവങ്ങളെക്കുറിച്ച് ശേഖരിച്ച് വൈചിത്ര്യപൂർവം തീരുമാനമെടുക്കാനുള്ള കഴിവ് മെച്ചപ്പെടുത്തുന്നു. നിങ്ങൾ ഡാറ്റയെക്കുറിച്ച് കൂടുതൽ അറിയാൻ ആഗ്രഹിക്കുന്നുവെങ്കിൽ, നിങ്ങൾ ഈ ലിങ്ക് ഉപയോഗിച്ച് അതിനെക്കുറിച്ച് കൂടുതൽ പഠിച്ചറിയാം: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "ഇത് FreedomIntelligence/medical-o1-reasoning-SFT-ൽ നിന്നുള്ള ഡാറ്റ അടിസ്ഥാനമാക്കിയുള്ളതാണ്, അതുകൊണ്ട് Phi-4-mini-reasoning ന്റെ മെഡിക്കൽ സംഭവങ്ങളെക്കുറിച്ചുള്ള ന്യായം നിർവഹിക്കുന്ന കഴിവ് മെച്ചപ്പെടുത്തുന്നു. നിങ്ങൾക്ക് ഡാറ്റയെക്കുറിച്ച് കൂടുതൽ അറിയാൻ ആഗ്രഹമുണ്ടെങ്കിൽ, ഈ ലിങ്ക് ഉപയോഗിച്ചുകൊണ്ട് കൂടുതൽ അറിയാം: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", "\n", - "*കുറിപ്പ്： ദയവായി ഈ സാമ്പിൾ ഓടിക്കാൻ 64gb മെമ്മറി ഉള്ള Apple silicon ഉപകരണങ്ങൾ ഉപയോഗിക്കുക*\n" + "*കുറിപ്പ്： ദയവായി ഈ സാമ്പിൾ പ്രവർത്തിപ്പിക്കാൻ 64gb മെമ്മറി ആപ്പിൾ സിലിക്കൺ ഡിവൈസുകൾ ഉപയോഗിക്കുക*\n" ] }, { @@ -77,9 +77,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **ഡാറ്റ**\n", + "### **ഡേറ്റ**\n", "\n", - "ഡാറ്റ train ഉം valid ഉം ആയി വിഭജിച്ച് data ഫോൾഡറിൽ ഇടേണ്ടതാണ്. ശ്രദ്ധിക്കുക apple mlx ഡീഫോൾട്ടായി training ഡാറ്റയ്ക്ക് പേര് നല്കുന്നു. train എന്നത് train.jsonl എന്ന പേരിലാണ്, valid എന്നത് valid.json എന്ന പേരിലാണ്.\n" + "ഡേറ്റ ട്രെയിൻ, വാലിഡ് ആയി വിഭജിച്ച് ഡേറ്റ ഫോളഡറിൽ ठेवേണ്ടതാണ്. apple mlx ട്രെയിനിംഗ് ഡേറ്റ ഡിഫോൾട്ടായി പേരിടുന്നു എന്ന് ശ്രദ്ധിക്കുക. train എന്നത് train.jsonl എന്ന് പേരിടുന്നു, valid എന്നത് valid.json എന്നു പേരിടുന്നു.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -343,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "---\n\n\nഡിസ്ക്ലെയിമർ:\nഈ ദസ്താവേജ് AI വിവർത്തന സേവനമായ [Co-op Translator](https://github.com/Azure/co-op-translator) ഉപയോഗിച്ച് തർജ്ജമ ചെയ്‍തതാണ്. ഞങ്ങൾ കൃത്യതയിലേക്ക് ശ്രമിച്ചിട്ടുണ്ടെങ്കിലും, സ്വയംമേധയിയായ (ഓട്ടോമേറ്റഡ്) വിവർത്തനങ്ങളിൽ പിശകുകൾ അല്ലെങ്കിൽ അപകൃതതകൾ ഉണ്ടായിരിക്കാമെന്ന് ദയവായി ശ്രദ്ധിക്കുക. മൂലഭാഷയിലുള്ള ദസ്താവേകം മാത്രമേ അതിന്റെ വിശ്വാസനീയവും ഔദ്യോഗികമായ സ്രോതസ്സുമായിട്ടാണ് പരിഗണിക്കേണ്ടത്. നിർണ്ണായകമായ വിവരങ്ങൾക്ക് പ്രൊഫഷണൽ മനുഷ്യ പരിഭാഷ ശിപാർശ ചെയ്യപ്പെടുന്നു. ഈ വിവർത്തനത്തിന്റെ ഉപയോഗത്തെ തുടർന്ന് ഉണ്ടായേക്കാവുന്ന ഏതെങ്കിലും തെറ്റിദ്ധാരണങ്ങൾക്കോ വ്യാഖ്യാന പിശകുകൾക്കോ അതിനുള്ള ഉത്തരവാദിത്വം ഞങ്ങൾ ഏറ്റെടുക്കുന്നില്ല.\n\n" + "---\n\n\n**അറിയിപ്പ്**:\nഈ രേഖ AI പരിഭാഷാ സേവനം [Co-op Translator](https://github.com/Azure/co-op-translator) ഉപയോഗിച്ച് പരിഭാഷപ്പെടുത്തിയതാണ്. ഞങ്ങൾ കൃത്യതയ്ക്കായി ശ്രമിക്കുന്നുവെങ്കിലും, ഓട്ടോമേറ്റഡ് പരിഭാഷകളിൽ പിഴവുകൾ അല്ലെങ്കിൽ തെറ്റായ വിവരങ്ങൾ ഉണ്ടാകാൻ സാധ്യതയുണ്ട്. അതിന്റെ സ്വാഭാവിക ഭാഷയിലുള്ള അസൽ രേഖയാണ് പ്രാമാണികമായ ഉറവിടമായി പരിഗണിക്കേണ്ടത്. നിർണായകമായ വിവരങ്ങൾക്ക്, പ്രൊഫഷണൽ മനുഷ്യ പരിഭാഷ ശുപാർശ ചെയ്യുന്നു. ഈ പരിഭാഷ ഉപയോഗിച്ച് ഉണ്ടാകുന്ന തെറ്റിദ്ധാരണകൾ അല്ലെങ്കിൽ തെറ്റായ വ്യാഖ്യാനങ്ങൾക്കായി ഞങ്ങൾ ഉത്തരവാദികളല്ല.\n\n" ] } ], @@ -2687,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-12-22T10:12:46+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "ml" } }, "nbformat": 4, diff --git a/translations/mr/.co-op-translator.json b/translations/mr/.co-op-translator.json index 3ad8c1777..0699eea9e 100644 --- a/translations/mr/.co-op-translator.json +++ b/translations/mr/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "mr" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:50:49+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "mr" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:54:25+00:00", diff --git a/translations/mr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/mr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 3bde419e0..fbdd4df34 100644 --- a/translations/mr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/mr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **नमूना : Apple MLX फ्रेमवर्कसह Phi-4-mini-reasoning चे फाइन-ट्यूनिंग**\n", + "## **नमुना : Apple MLX फ्रेमवर्कसह Phi-4-mini-reasoning चे अप्लेट्यूनिंग**\n", "\n", - "हे FreedomIntelligence/medical-o1-reasoning-SFT मधील डेटावर आधारित आहे, जे Phi-4-mini-reasoning ची वैद्यकीय घटनांबद्दल विचार करण्याची क्षमता वाढवते. तुम्हाला या डेटाबद्दल अधिक जाणून घ्यायचे असल्यास, तुम्ही या लिंकचा वापर करून अधिक माहिती मिळवू शकता: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "हे FreedomIntelligence/medical-o1-reasoning-SFT च्या डेटावर आधारित आहे, जे Phi-4-mini-reasoning ची वैद्यकीय घटनांविषयी तर्क करण्याची क्षमता वाढवते. जर तुम्हाला डेटाबद्दल अधिक जाणून घ्यायचे असेल, तर तुम्ही या लिंकचा वापर करून त्याबद्दल अधिक शिकू शकता: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*टीप: कृपया 64gb मेमरी असलेल्या Apple silicon डिव्हाइसचा वापर करून हा नमुना चालवा*\n" + "*टीप：कृपया हा नमुना चालवण्यासाठी 64gb मेमरी असणाऱ्या Apple सिलीकोन डिव्हाइसेसचा वापर करा*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **डेटा**\n", "\n", - "आपल्याला डेटा ट्रेन आणि वैध विभागांमध्ये विभागून डेटा फोल्डरमध्ये ठेवणे आवश्यक आहे. लक्षात ठेवा की apple mlx प्रशिक्षण डेटाचे नाव डीफॉल्टने ठेवते. ट्रेनचे नाव train.jsonl आणि वैधचे नाव valid.json आहे.\n" + "आपल्याला डेटाला ट्रेन आणि व्हॅलिडमध्ये विभागणे आवश्यक आहे आणि त्यांना डेटा फोल्डरमध्ये ठेवायचे आहे. लक्षात घ्या की ऍपल एमएलएक्स ट्रेनिंग डेटाला डीफॉल्टने नाव देतो. ट्रेनचे नाव train.jsonl आहे आणि व्हॅलिडचे नाव valid.json आहे.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **प्रशिक्षण**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **चाचणी**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**अस्वीकरण**: \nहा दस्तऐवज AI भाषांतर सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) वापरून भाषांतरित करण्यात आला आहे. आम्ही अचूकतेसाठी प्रयत्नशील असलो तरी कृपया लक्षात ठेवा की स्वयंचलित भाषांतरे त्रुटी किंवा अचूकतेच्या अभावाने युक्त असू शकतात. मूळ भाषेतील दस्तऐवज हा अधिकृत स्रोत मानला जावा. महत्त्वाच्या माहितीसाठी व्यावसायिक मानवी भाषांतराची शिफारस केली जाते. या भाषांतराचा वापर करून उद्भवलेल्या कोणत्याही गैरसमज किंवा चुकीच्या अर्थासाठी आम्ही जबाबदार राहणार नाही.\n" + "---\n\n\n**अस्वीकरण**:\nहा दस्तऐवज AI भाषांतर सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) चा वापर करून अनुवादित केला आहे. जरी आम्ही अचूकतेसाठी प्रयत्न करतो, तरी कृपया लक्षात घ्या की स्वयंचलित भाषांतरांमध्ये त्रुटी किंवा अचूकतेची कमतरता असू शकते. मूळ दस्तऐवज त्याच्या मूळ भाषेत अधिकृत स्रोत मानला पाहिजे. महत्त्वाची माहिती असल्यास, व्यावसायिक मानवी भाषांतराची शिफारस केली जाते. या भाषांतराच्या वापरामुळे उद्भवणाऱ्या कोणत्याही गैरसमज किंवा चुकीच्या अर्थलावणीसाठी आम्ही जबाबदार नाही.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T18:37:22+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "mr" } }, "nbformat": 4, diff --git a/translations/ms/.co-op-translator.json b/translations/ms/.co-op-translator.json index f87bc71de..a06a7bf62 100644 --- a/translations/ms/.co-op-translator.json +++ b/translations/ms/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "ms" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:15:35+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "ms" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:57:45+00:00", diff --git a/translations/ms/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/ms/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 130f4e730..b7b7b4849 100644 --- a/translations/ms/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/ms/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Contoh: penalaan Phi-4-mini-reasoning dengan Rangka Kerja Apple MLX**\n", + "## **Contoh : penalaan halus Phi-4-mini-reasoning dengan Apple MLX Framework**\n", "\n", - "Ini berdasarkan data daripada FreedomIntelligence/medical-o1-reasoning-SFT, yang meningkatkan keupayaan Phi-4-mini-reasoning untuk membuat penalaran tentang peristiwa perubatan. Jika anda ingin mengetahui lebih lanjut tentang data ini, anda boleh menggunakan pautan ini untuk mempelajarinya: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Ini berdasarkan data dari FreedomIntelligence/medical-o1-reasoning-SFT, yang meningkatkan kebolehan Phi-4-mini-reasoning untuk membuat penalaran mengenai kejadian perubatan. Jika anda ingin mengetahui lebih lanjut tentang data ini, anda boleh menggunakan pautan ini untuk mempelajarinya: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Nota: Sila gunakan peranti Apple silicon dengan memori 64gb untuk menjalankan contoh ini*\n" + "*Nota: Sila gunakan peranti Apple silikon dengan memori 64gb untuk menjalankan contoh ini*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Data**\n", "\n", - "Kita perlu membahagikan data kepada train dan valid serta meletakkannya dalam folder data. Perlu diingat bahawa apple mlx menamakan data latihan secara lalai. train dinamakan train.jsonl dan valid dinamakan valid.json.\n" + "Kita perlu membahagikan data kepada train dan valid dan letakkan mereka dalam folder data. Perlu diingat bahawa apple mlx menamakan data latihan secara lalai. train dinamakan train.jsonl dan valid dinamakan valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Latihan**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Ujian**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Penafian**: \nDokumen ini telah diterjemahkan menggunakan perkhidmatan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Walaupun kami berusaha untuk memastikan ketepatan, sila ambil perhatian bahawa terjemahan automatik mungkin mengandungi kesilapan atau ketidaktepatan. Dokumen asal dalam bahasa asalnya harus dianggap sebagai sumber yang berwibawa. Untuk maklumat yang kritikal, terjemahan manusia profesional adalah disyorkan. Kami tidak bertanggungjawab atas sebarang salah faham atau salah tafsir yang timbul daripada penggunaan terjemahan ini.\n" + "---\n\n\n**Penafian**:\nDokumen ini telah diterjemahkan menggunakan perkhidmatan terjemahan AI [Co-op Translator](https://github.com/Azure/co-op-translator). Walaupun kami berusaha untuk ketepatan, sila ambil maklum bahawa terjemahan automatik mungkin mengandungi kesilapan atau ketidaktepatan. Dokumen asal dalam bahasa asalnya harus dianggap sebagai sumber yang sahih. Untuk maklumat penting, terjemahan oleh manusia profesional adalah disyorkan. Kami tidak bertanggungjawab terhadap sebarang salah faham atau salah tafsir yang timbul daripada penggunaan terjemahan ini.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:58:21+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "ms" } }, "nbformat": 4, diff --git a/translations/my/.co-op-translator.json b/translations/my/.co-op-translator.json index 5b63714de..730c9fc82 100644 --- a/translations/my/.co-op-translator.json +++ b/translations/my/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "my" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:12:38+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "my" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:59:45+00:00", diff --git a/translations/my/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/my/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 7302a4807..b4398e443 100644 --- a/translations/my/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/my/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **နမူနာ : Phi-4-mini-reasoning ကို Apple MLX Framework ဖြင့် အထူးပြင်ဆင်ခြင်း**\n", + "## **နမူနာ : Apple MLX Framewrok ဖြင့် Phi-4-mini-reasoning ကို fine-tuning လုပ်ခြင်း**\n", "\n", - "ဤနမူနာသည် FreedomIntelligence/medical-o1-reasoning-SFT မှ ဒေတာအခြေခံပြီး Phi-4-mini-reasoning ၏ ဆေးဘက်ဆိုင်ရာ အဖြေရှာနိုင်စွမ်းကို တိုးတက်စေသည်။ ဒေတာအကြောင်းကို ပိုမိုလေ့လာလိုပါက ဤလင့်ခ်ကို အသုံးပြု၍ ပိုမိုလေ့လာနိုင်ပါသည်။ https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "၎င်းသည် FreedomIntelligence/medical-o1-reasoning-SFT မှ အချက်အလက်များကို အခြေခံပြီး Phi-4-mini-reasoning ၏ ဆေးဘက်ဆိုင်ရာ ဖြစ်ရပ်များကို သရုပ်ဖော်နိုင်မှုအား တိုးတက်စေသည်။ အချက်အလက်များအကြောင်း ပိုမိုသိရှိလိုပါက ဒီလင့်(https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT) ကို အသုံးပြု၍ ပိုမိုလေ့လာနိုင်ပါသည်။\n", "\n", - "*မှတ်ချက်： ဤနမူနာကို အကောင်အထည်ဖော်ရန် 64gb memory Apple silicon devices ကို အသုံးပြုပါ*\n" + "*မှတ်ချက်။ ဤနမူနာကို လည်ပတ်ရန် 64gb မှတ်ဉာဏ် နွယ် Apple silicon စက်များကို သုံးပါ။*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **ဒေတာ**\n", "\n", - "ဒေတာကို train နဲ့ valid အဖြစ် ခွဲပြီး data folder ထဲမှာ ထည့်ရမယ်။ apple mlx က training data ကို အလိုအလျောက် နာမည်ပေးထားတာကို သတိထားပါ။ train ကို train.jsonl လို့ နာမည်ပေးထားပြီး valid ကို valid.json လို့ နာမည်ပေးထားပါတယ်။\n" + "ဒေတာကို train နဲ့ valid အဖြစ် ဖွဲခြားပြီး data ဖိုလ်ဒါထဲသိုလှောင်ရမည်။ apple mlx သည် ပုံမှန်အားဖြင့် သင်ကြားရေးဒေတာကို train.jsonl ဟု အမည်ပေးသည်ကို သတိပြုပါ။ valid ကို valid.json အဖြစ် အမည်ပေးထားသည်။\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **လေ့ကျင့်မှု**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **စမ်းသပ်ခြင်း**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**အကြောင်းကြားချက်**: \nဤစာရွက်စာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှု [Co-op Translator](https://github.com/Azure/co-op-translator) ကို အသုံးပြု၍ ဘာသာပြန်ထားပါသည်။ ကျွန်ုပ်တို့သည် တိကျမှုအတွက် ကြိုးစားနေသော်လည်း၊ အလိုအလျောက် ဘာသာပြန်ခြင်းတွင် အမှားများ သို့မဟုတ် မတိကျမှုများ ပါရှိနိုင်သည်ကို သတိပြုပါ။ မူရင်းဘာသာစကားဖြင့် ရေးသားထားသော စာရွက်စာတမ်းကို အာဏာရှိသော ရင်းမြစ်အဖြစ် သတ်မှတ်သင့်ပါသည်။ အရေးကြီးသော အချက်အလက်များအတွက် လူ့ဘာသာပြန်ပညာရှင်များမှ ပရော်ဖက်ရှင်နယ် ဘာသာပြန်ခြင်းကို အကြံပြုပါသည်။ ဤဘာသာပြန်ကို အသုံးပြုခြင်းမှ ဖြစ်ပေါ်လာသော အလွဲအလွတ်များ သို့မဟုတ် အနားလွဲမှုများအတွက် ကျွန်ုပ်တို့သည် တာဝန်မယူပါ။\n" + "---\n\n\n**ပြောကြားချက်**\nဤစာတမ်းကို AI ဘာသာပြန်ဝန်ဆောင်မှု [Co-op Translator](https://github.com/Azure/co-op-translator) အသုံးပြု၍ ဘာသာပြန်ထားပါသည်။ ကျွန်ုပ်တို့သည် တိကျမှန်ကန်မှုအတွက် ကြိုးပမ်းနေသော်လည်း၊ စက်ကိရိယာဘာသာပြန်ခြင်းများတွင် အမှားများ သို့မဟုတ် မှားယွင်းချက်များ ပါဝင်နိုင်ကြောင်း သတိပြုပါရန် လိုအပ်ပါသည်။ မူလစာတမ်းကို မူရင်းဘာသာဖြင့်သာ ယုံကြည်စိတ်ချရသော အချက်အလက်အဖြစ် သတ်မှတ်သင့်သည်။ အရေးကြီးသည့် သတင်းအချက်အလက်များအတွက် ပရော်ဖက်ရှင်နယ် လူသားဘာသာပြန်သူဝန်ဆောင်မှုကို အကြံပြုပါသည်။ ဤဘာသာပြန်ချက်ကို အသုံးပြုခြင်းမှ ဖြစ်ပေါ်လာသော နားလည်မှုကွာခြားမှုများ သို့မဟုတ် မမှန်ကန်သော အသုံးပြုမှုများအတွက် ကျွန်ုပ်တို့ တာဝန်မခံပါ။\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-13T05:46:47+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "my" } }, "nbformat": 4, diff --git a/translations/ne/.co-op-translator.json b/translations/ne/.co-op-translator.json index 47ce3c071..5b71e2e98 100644 --- a/translations/ne/.co-op-translator.json +++ b/translations/ne/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "ne" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:51:00+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "ne" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:54:40+00:00", diff --git a/translations/ne/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/ne/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 4e547ff32..fcb403b97 100644 --- a/translations/ne/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/ne/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **नमूना : Apple MLX फ्रेमवर्कको साथ Phi-4-mini-reasoning को फाइन-ट्युनिङ**\n", + "## **नमूना : Apple MLX फ्रेमवर्कसँग Phi-4-mini-reasoning को fine-tuning**\n", "\n", - "यो FreedomIntelligence/medical-o1-reasoning-SFT बाट प्राप्त डाटामा आधारित छ, जसले Phi-4-mini-reasoning लाई चिकित्सा घटनाहरूको बारेमा तर्क गर्न सक्ने क्षमता सुधार गर्दछ। यदि तपाईं यस डाटाको बारेमा थप जान्न चाहनुहुन्छ भने, तपाईं यस लिंक प्रयोग गरेर थप जानकारी लिन सक्नुहुन्छ: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "यो FreedomIntelligence/medical-o1-reasoning-SFT बाट प्राप्त डाटामा आधारित छ, जसले Phi-4-mini-reasoning लाई चिकित्सक घटनाहरूमा तर्क गर्ने क्षमता बढाउँछ। यदि तपाईं यस डेटाबारे थप जान्न चाहनुहुन्छ भने, तपाईं यो लिंक मार्फत थप जानकारी लिन सक्नुहुन्छ: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*नोट: कृपया 64gb मेमोरी भएका Apple सिलिकन उपकरणहरू प्रयोग गरेर यो नमूना चलाउनुहोस्*\n" + "*Note： कृपया यो नमूना चलाउन 64gb मेमोरी भएका Apple सिलिकन उपकरणहरू प्रयोग गर्नुहोस्*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **डाटा**\n", "\n", - "हामीले डाटालाई ट्रेन र भ्यालिडमा विभाजन गर्नुपर्छ र त्यसलाई डाटा फोल्डरमा राख्नुपर्छ। ध्यान दिनुहोस् कि एप्पल mlx ले ट्रेनिङ डाटालाई डिफल्ट रूपमा नामकरण गर्छ। ट्रेनलाई train.jsonl नाम दिइन्छ र भ्यालिडलाई valid.json नाम दिइन्छ।\n" + "हामीले डाटालाई train र valid मा विभाजन गर्नु पर्छ र तिनीहरूलाई data फोल्डरमा राख्नुपर्छ। ध्यान दिनुहोस् कि apple mlx ले डिफल्ट रूपमा तालिम डाटालाई नामाकरण गर्दछ। train लाई train.jsonl भनेर नामाकरण गरिएको छ र valid लाई valid.json भनिएको छ।\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **प्रशिक्षण**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **परीक्षण**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**अस्वीकरण**: \nयो दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) प्रयोग गरेर अनुवाद गरिएको हो। हामी शुद्धताको लागि प्रयास गर्छौं, तर कृपया ध्यान दिनुहोस् कि स्वचालित अनुवादमा त्रुटिहरू वा अशुद्धताहरू हुन सक्छ। यसको मूल भाषा मा रहेको मूल दस्तावेज़लाई आधिकारिक स्रोत मानिनुपर्छ। महत्वपूर्ण जानकारीको लागि, व्यावसायिक मानव अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट उत्पन्न हुने कुनै पनि गलतफहमी वा गलत व्याख्याको लागि हामी जिम्मेवार हुने छैनौं।\n" + "---\n\n\n**अस्वीकरण**:\nयो दस्तावेज़ AI अनुवाद सेवा [Co-op Translator](https://github.com/Azure/co-op-translator) प्रयोग गरेर अनुवाद गरिएको हो। हामी सही हुन प्रयास गर्छौं, तर कृपया जानकार हुनुस् कि स्वचालित अनुवादमा त्रुटिहरू वा अशुद्धताहरू हुन सक्छन्। मूल दस्तावेज़ यसको मूल भाषामा आधिकारिक स्रोत मानिनुपर्छ। महत्वपूर्ण जानकारीका लागि व्यावसायिक मानव अनुवाद सिफारिस गरिन्छ। यस अनुवादको प्रयोगबाट उत्पन्न कुनै पनि गलत बुझाइ वा त्रुटिको लागि हामी जिम्मेवार छैनौं।\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T18:37:31+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "ne" } }, "nbformat": 4, diff --git a/translations/nl/.co-op-translator.json b/translations/nl/.co-op-translator.json index 90a21d24f..6ea9d2872 100644 --- a/translations/nl/.co-op-translator.json +++ b/translations/nl/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "nl" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:18:10+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "nl" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:57:03+00:00", diff --git a/translations/nl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/nl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 9c59a6562..e758815e4 100644 --- a/translations/nl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/nl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -6,9 +6,9 @@ "source": [ "## **Voorbeeld: fine-tuning Phi-4-mini-reasoning met Apple MLX Framework**\n", "\n", - "Dit is gebaseerd op de gegevens van FreedomIntelligence/medical-o1-reasoning-SFT, die de mogelijkheid van Phi-4-mini-reasoning verbeteren om te redeneren over medische gebeurtenissen. Als je meer wilt weten over de gegevens, kun je deze link gebruiken om er meer over te leren: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Dit is gebaseerd op de data van FreedomIntelligence/medical-o1-reasoning-SFT, die het vermogen van Phi-4-mini-reasoning om te redeneren over medische gebeurtenissen verbetert. Als je meer over de data wilt weten, kun je deze link gebruiken om er meer over te leren: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Opmerking: Gebruik Apple silicon-apparaten met 64 GB geheugen om dit voorbeeld uit te voeren.*\n" + "*Opmerking: gebruik Apple silicon-apparaten met 64 GB geheugen om dit voorbeeld uit te voeren*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Gegevens**\n", "\n", - "We moeten de gegevens verdelen in train en valid en deze in de data-map plaatsen. Let op dat apple mlx de trainingsgegevens standaard een naam geeft. train wordt genoemd train.jsonl en valid wordt genoemd valid.json.\n" + "We moeten de gegevens verdelen in train en valid en deze in de data map plaatsen. Let op dat apple mlx de trainingsgegevens standaard benoemt. train wordt train.jsonl genoemd en valid wordt valid.json genoemd.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Training**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testen**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Disclaimer**: \nDit document is vertaald met behulp van de AI-vertalingsservice [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel we streven naar nauwkeurigheid, dient u zich ervan bewust te zijn dat geautomatiseerde vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het originele document in zijn oorspronkelijke taal moet worden beschouwd als de gezaghebbende bron. Voor cruciale informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor eventuele misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling.\n" + "---\n\n\n**Disclaimer**:\nDit document is vertaald met behulp van de AI vertaaldienst [Co-op Translator](https://github.com/Azure/co-op-translator). Hoewel we streven naar nauwkeurigheid, dient u er rekening mee te houden dat geautomatiseerde vertalingen fouten of onnauwkeurigheden kunnen bevatten. Het originele document in de oorspronkelijke taal moet worden beschouwd als de gezaghebbende bron. Voor kritieke informatie wordt professionele menselijke vertaling aanbevolen. Wij zijn niet aansprakelijk voor eventuele misverstanden of verkeerde interpretaties die voortvloeien uit het gebruik van deze vertaling.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:57:50+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "nl" } }, "nbformat": 4, diff --git a/translations/no/.co-op-translator.json b/translations/no/.co-op-translator.json index c6e7c19bb..e52ec823d 100644 --- a/translations/no/.co-op-translator.json +++ b/translations/no/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "no" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:01:22+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "no" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:56:43+00:00", diff --git a/translations/no/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/no/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 5c30e48aa..53de28120 100644 --- a/translations/no/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/no/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -6,9 +6,9 @@ "source": [ "## **Eksempel: finjustering av Phi-4-mini-reasoning med Apple MLX Framework**\n", "\n", - "Dette er basert på data fra FreedomIntelligence/medical-o1-reasoning-SFT, som forbedrer evnen til Phi-4-mini-reasoning til å resonnere rundt medisinske hendelser. Hvis du vil lære mer om dataene, kan du bruke denne lenken for å lære mer om det: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Dette er basert på data fra FreedomIntelligence/medical-o1-reasoning-SFT, som forbedrer evnen til Phi-4-mini-reasoning til å resonnere om medisinske hendelser. Hvis du vil lære mer om dataene, kan du bruke denne lenken for å lære mer om det: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Merk: Vennligst bruk Apple Silicon-enheter med 64 GB minne for å kjøre dette eksempelet*\n" + "*Merk: Vennligst bruk Apple-silikonenheter med 64 GB minne for å kjøre dette eksemplet*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Data**\n", "\n", - "Vi må dele opp dataene i train og valid og plassere dem i data-mappen. Merk at apple mlx gir treningsdataene navn som standard. train heter train.jsonl og valid heter valid.json.\n" + "Vi må dele opp dataene i train og valid og plassere dem i data-mappen. Merk at apple mlx navngir treningsdataene som standard. train heter train.jsonl og valid heter valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Trening**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testing**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Ansvarsfraskrivelse**: \nDette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi streber etter nøyaktighet, vær oppmerksom på at automatiserte oversettelser kan inneholde feil eller unøyaktigheter. Det originale dokumentet på sitt opprinnelige språk bør anses som den autoritative kilden. For kritisk informasjon anbefales profesjonell menneskelig oversettelse. Vi er ikke ansvarlige for eventuelle misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen.\n" + "---\n\n\n**Ansvarsfraskrivelse**:\nDette dokumentet er oversatt ved hjelp av AI-oversettelsestjenesten [Co-op Translator](https://github.com/Azure/co-op-translator). Selv om vi streber etter nøyaktighet, vær oppmerksom på at automatiske oversettelser kan inneholde feil eller unøyaktigheter. Det opprinnelige dokumentet på originalspråket skal betraktes som den autoritative kilden. For kritisk informasjon anbefales profesjonell menneskelig oversettelse. Vi er ikke ansvarlige for eventuelle misforståelser eller feiltolkninger som oppstår ved bruk av denne oversettelsen.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:57:35+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "no" } }, "nbformat": 4, diff --git a/translations/pa/.co-op-translator.json b/translations/pa/.co-op-translator.json index c6ac123d8..2b85190ab 100644 --- a/translations/pa/.co-op-translator.json +++ b/translations/pa/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "pa" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:20:55+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "pa" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:54:52+00:00", diff --git a/translations/pa/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/pa/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 1989a5df1..c82851cba 100644 --- a/translations/pa/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/pa/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **ਨਮੂਨਾ: Apple MLX Framework ਨਾਲ Phi-4-mini-reasoning ਦਾ ਫਾਈਨ-ਟਿਊਨਿੰਗ**\n", + "## **ਨਮੂਨਾ : Apple MLX Framework ਨਾਲ Phi-4-mini-reasoning ਨੂੰ ਫਾਈਨ-ਟਿਊਨਿੰਗ ਕਰਨਾ**\n", "\n", - "ਇਹ FreedomIntelligence/medical-o1-reasoning-SFT ਦੇ ਡਾਟਾ 'ਤੇ ਆਧਾਰਿਤ ਹੈ, ਜੋ Phi-4-mini-reasoning ਦੀ ਮੈਡੀਕਲ ਘਟਨਾਵਾਂ ਬਾਰੇ ਤਰਕ ਕਰਨ ਦੀ ਸਮਰਥਾ ਨੂੰ ਵਧਾਉਂਦਾ ਹੈ। ਜੇ ਤੁਸੀਂ ਇਸ ਡਾਟਾ ਬਾਰੇ ਹੋਰ ਜਾਣਨਾ ਚਾਹੁੰਦੇ ਹੋ, ਤਾਂ ਇਸ ਲਿੰਕ ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਹੋਰ ਜਾਣਕਾਰੀ ਪ੍ਰਾਪਤ ਕਰ ਸਕਦੇ ਹੋ: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "ਇਹ FreedomIntelligence/medical-o1-reasoning-SFT ਤੋਂ ਆਇਆ ਡਾਟਾ ਤੇ ਆਧਾਰਿਤ ਹੈ, ਜੋ Phi-4-mini-reasoning ਦੀ ਮੈਡੀਕਲ ਘਟਨਾਵਾਂ ਬਾਰੇ ਸੋਚਣ ਦੀ ਸਮਰੱਥਾ ਨੂੰ ਵਧਾਉਂਦਾ ਹੈ। ਜੇਕਰ ਤੁਸੀਂ ਇਸ ਡਾਟਾ ਬਾਰੇ ਹੋਰ ਜਾਣਨਾ ਚਾਹੁੰਦੇ ਹੋ, ਤਾਂ ਤੁਸੀਂ ਇਸ ਲਿੰਕ ਦਾ ਉਪਯੋਗ ਕਰਕੇ ਇਸ ਬਾਰੇ ਹੋਰ ਜਾਣ ਸਕਦੇ ਹੋ: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*ਨੋਟ: ਕਿਰਪਾ ਕਰਕੇ 64gb ਮੈਮਰੀ ਵਾਲੇ Apple ਸਿਲਿਕਾਨ ਡਿਵਾਈਸਾਂ ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਇਸ ਨਮੂਨੇ ਨੂੰ ਚਲਾਓ*\n" + "*ਨੋਟ： ਕਿਰਪਾ ਕਰਕੇ ਇਸ ਨਮੂਨੇ ਨੂੰ ਚਲਾਉਣ ਲਈ 64gb ਮੈਮੋਰੀ ਵਾਲੇ Apple silicon ਡਿਵਾਈਸਾਂ ਦੀ ਵਰਤੋਂ ਕਰੋ*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **ਡਾਟਾ**\n", "\n", - "ਸਾਨੂੰ ਡਾਟਾ ਨੂੰ ਟ੍ਰੇਨ ਅਤੇ ਵੈਲਿਡ ਵਿੱਚ ਵੰਡਣਾ ਹੈ ਅਤੇ ਇਸਨੂੰ ਡਾਟਾ ਫੋਲਡਰ ਵਿੱਚ ਰੱਖਣਾ ਹੈ। ਧਿਆਨ ਦਿਓ ਕਿ ਐਪਲ mlx ਡਿਫਾਲਟ ਰੂਪ ਵਿੱਚ ਟ੍ਰੇਨਿੰਗ ਡਾਟਾ ਨੂੰ ਨਾਮ ਦਿੰਦਾ ਹੈ। ਟ੍ਰੇਨ ਨੂੰ train.jsonl ਅਤੇ ਵੈਲਿਡ ਨੂੰ valid.jsonl ਨਾਮ ਦਿੱਤਾ ਜਾਂਦਾ ਹੈ।\n" + "ਸਾਨੂੰ ਡਾਟੇ ਨੂੰ train ਅਤੇ valid ਵਿੱਚ ਵੰਡਣਾ ਹੈ ਅਤੇ ਉਹਨਾਂ ਨੂੰ data ਫੋਲਡਰ ਵਿੱਚ ਰੱਖਣਾ ਹੈ। ਧਿਆਨ ਦਿਓ ਕਿ apple mlx ਡਿਫਾਲਟ ਤੌਰ ਤੇ training ਡਾਟੇ ਨੂੰ ਨਾਮ ਦਿੰਦਾ ਹੈ। train ਨੂੰ train.jsonl ਨਾਮ ਦਿੱਤਾ ਜਾਂਦਾ ਹੈ ਅਤੇ valid ਨੂੰ valid.json ਨਾਮ ਦਿੱਤਾ ਜਾਂਦਾ ਹੈ।\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **ਟ੍ਰੇਨਿੰਗ**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **ਟੈਸਟਿੰਗ**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**ਅਸਵੀਕਾਰਨਾ**: \nਇਹ ਦਸਤਾਵੇਜ਼ AI ਅਨੁਵਾਦ ਸੇਵਾ [Co-op Translator](https://github.com/Azure/co-op-translator) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਅਨੁਵਾਦ ਕੀਤਾ ਗਿਆ ਹੈ। ਜਦੋਂ ਕਿ ਅਸੀਂ ਸਹੀਤਾ ਲਈ ਯਤਨਸ਼ੀਲ ਹਾਂ, ਕਿਰਪਾ ਕਰਕੇ ਧਿਆਨ ਦਿਓ ਕਿ ਸਵੈਚਾਲਿਤ ਅਨੁਵਾਦਾਂ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਅਸੁਚਨਾਵਾਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ਮੂਲ ਦਸਤਾਵੇਜ਼ ਨੂੰ ਇਸਦੀ ਮੂਲ ਭਾਸ਼ਾ ਵਿੱਚ ਅਧਿਕਾਰਤ ਸਰੋਤ ਮੰਨਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ। ਮਹੱਤਵਪੂਰਨ ਜਾਣਕਾਰੀ ਲਈ, ਪੇਸ਼ੇਵਰ ਮਨੁੱਖੀ ਅਨੁਵਾਦ ਦੀ ਸਿਫਾਰਸ਼ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। ਇਸ ਅਨੁਵਾਦ ਦੀ ਵਰਤੋਂ ਤੋਂ ਪੈਦਾ ਹੋਣ ਵਾਲੇ ਕਿਸੇ ਵੀ ਗਲਤਫਹਿਮੀ ਜਾਂ ਗਲਤ ਵਿਆਖਿਆ ਲਈ ਅਸੀਂ ਜ਼ਿੰਮੇਵਾਰ ਨਹੀਂ ਹਾਂ।\n" + "---\n\n\n**ਅਸਵੀਕਾਰੋਪਣ**:\nਇਸ ਦਸਤਾਵੇਜ਼ ਦਾ ਅਨੁਵਾਦ ਏਆਈ ਅਨੁਵਾਦ ਸੇਵਾ [Co-op Translator](https://github.com/Azure/co-op-translator) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਕੀਤਾ ਗਿਆ ਹੈ। ਜਦੋਂ ਕਿ ਅਸੀਂ ਸਹੀਤਾਵਾਂ ਲਈ ਯਤਨਸ਼ੀਲ ਹਾਂ, ਕਿਰਪਾ ਕਰਕੇ ਧਿਆਨ ਰੱਖੋ ਕਿ ਸਵੈਚਾਲਿਤ ਅਨੁਵਾਦਾਂ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਅਸਮੱਤਿਆਵਾਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ਮੂਲ ਦਸਤਾਵੇਜ਼ ਆਪਣੀ ਮੂਲ ਭਾਸ਼ਾ ਵਿੱਚ ਅਧਿਕਾਰਕ ਸਰੋਤ ਮੰਨਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ। ਜਰੂਰੀ ਜਾਣਕਾਰੀ ਲਈ, ਪੇਸ਼ੇਵਰ ਮਨੁੱਖੀ ਅਨੁਵਾਦ ਦੀ ਸਿਫ਼ਾਰਸ਼ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। ਅਸੀਂ ਇਸ ਅਨੁਵਾਦ ਦੇ ਉਪਯੋਗ ਤੋਂ ਪੈਦਾ ਹੋਣ ਵਾਲੀਆਂ ਕਿਸੇ ਵੀ ਗਲਤਫਹਿਮੀਆਂ ਜਾਂ ਗਲਤ ਵਿਆਖਿਆਵਾਂ ਲਈ ਜਵਾਬਦੇਹ ਨਹੀਂ ਹਾਂ।\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T18:37:40+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "pa" } }, "nbformat": 4, diff --git a/translations/pcm/.co-op-translator.json b/translations/pcm/.co-op-translator.json index 2e7216dea..ee70af97a 100644 --- a/translations/pcm/.co-op-translator.json +++ b/translations/pcm/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "pcm" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:07:20+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "pcm" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-12-21T22:00:01+00:00", diff --git a/translations/pcm/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/pcm/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 7a42c8304..efafaaf2e 100644 --- a/translations/pcm/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/pcm/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -6,9 +6,9 @@ "source": [ "## **Sample : fine-tuning Phi-4-mini-reasoning with Apple MLX Framewrok**\n", "\n", - "Dis na based on data wey dey for FreedomIntelligence/medical-o1-reasoning-SFT, wey dey improve Phi-4-mini-reasoning ability to reason about medical events. If you wan learn more about the data, you fit use this link to sabi pass: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Dis one based on data wey come from FreedomIntelligence/medical-o1-reasoning-SFT, wey dey improve Phi-4-mini-reasoning ability to reason about medical events. If you want learn more about di data, you fit use dis link take learn more: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Note： Abeg use Apple silicon devices wey get 64gb memory to run this sample*\n" + "*Note： Abeg use 64gb memory Apple silicon devices run dis sample*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Data**\n", "\n", - "We gats divide di data into train an valid an put dem for di data folder. Note say apple mlx dey name di training data by default. train dey named train.jsonl an valid dey named valid.json\n" + "We need for divide di data into train and valid and put dem for inside di data folder. Make you sabi say apple mlx dey call di training data by default. Train na train.jsonl and valid na valid.json.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -239,7 +241,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **Trainin**\n" + "### **Training**\n" ] }, { @@ -282,7 +284,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **Testin**\n" + "### **Tɛsting**\n" ] }, { @@ -343,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "---\n\n\nAbeg read:\nDis document don translate by AI translation service Co-op Translator (https://github.com/Azure/co-op-translator). Even though we dey try make am correct, make you sabi say machine/automated translations fit get errors or no correct. Di original document for im original language remain di official source. If na important information, better make you use professional human translator. We no go responsible for any misunderstanding or wrong interpretation wey fit arise from using dis translation.\n\n" + "---\n\n\n**Disclaimer**:\nDis document don translate wit AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). Even tho we dey try make am correct, abeg make you know say automated translation fit get errors or mistakes. Di original document for dia own language na im be di correct source. For important info, make person wey sabi human translation do am. We no go responsible for any misunderstanding or wrong understanding wey fit happen because of dis translation.\n\n" ] } ], @@ -2687,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-12-22T10:10:19+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "pcm" } }, "nbformat": 4, diff --git a/translations/pl/.co-op-translator.json b/translations/pl/.co-op-translator.json index b45352c2b..b3ba084e7 100644 --- a/translations/pl/.co-op-translator.json +++ b/translations/pl/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "pl" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:53:37+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "pl" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:55:39+00:00", diff --git a/translations/pl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/pl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index e03a49319..da528a444 100644 --- a/translations/pl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/pl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Przykład: dostrajanie Phi-4-mini-reasoning za pomocą Apple MLX Framework**\n", + "## **Przykład: dostrajanie Phi-4-mini-reasoning z Apple MLX Framework**\n", "\n", - "To opiera się na danych z FreedomIntelligence/medical-o1-reasoning-SFT, które zwiększają zdolność Phi-4-mini-reasoning do rozumowania na temat wydarzeń medycznych. Jeśli chcesz dowiedzieć się więcej o danych, możesz skorzystać z tego linku, aby uzyskać więcej informacji: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Jest to oparte na danych z FreedomIntelligence/medical-o1-reasoning-SFT, które zwiększają zdolność Phi-4-mini-reasoning do wnioskowania na temat zdarzeń medycznych. Jeśli chcesz dowiedzieć się więcej o tych danych, możesz skorzystać z tego linku, aby dowiedzieć się więcej: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Uwaga: Proszę używać urządzeń Apple silicon z pamięcią 64 GB do uruchomienia tego przykładu*\n" + "*Uwaga: Proszę używać urządzeń Apple silicon z pamięcią 64GB do uruchomienia tego przykładu*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Dane**\n", "\n", - "Musimy podzielić dane na zestawy treningowe i walidacyjne oraz umieścić je w folderze danych. Zwróć uwagę, że apple mlx domyślnie nazywa dane treningowe. Zestaw treningowy nazywa się train.jsonl, a walidacyjny valid.json.\n" + "Musimy podzielić dane na train i valid i umieścić je w folderze data. Zauważ, że apple mlx domyślnie nazywa dane treningowe. train jest nazywany train.jsonl, a valid jest nazywany valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Szkolenie**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testowanie**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Zastrzeżenie**: \nTen dokument został przetłumaczony za pomocą usługi tłumaczenia AI [Co-op Translator](https://github.com/Azure/co-op-translator). Chociaż dokładamy wszelkich starań, aby zapewnić poprawność tłumaczenia, prosimy pamiętać, że automatyczne tłumaczenia mogą zawierać błędy lub nieścisłości. Oryginalny dokument w jego rodzimym języku powinien być uznawany za źródło autorytatywne. W przypadku informacji o kluczowym znaczeniu zaleca się skorzystanie z profesjonalnego tłumaczenia przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z użycia tego tłumaczenia.\n" + "---\n\n\n**Zastrzeżenie**:\nNiniejszy dokument został przetłumaczony za pomocą usługi tłumaczenia AI [Co-op Translator](https://github.com/Azure/co-op-translator). Choć dążymy do dokładności, prosimy pamiętać, że automatyczne tłumaczenia mogą zawierać błędy lub niedokładności. Oryginalny dokument w jego języku źródłowym należy uznawać za autorytatywne źródło. W przypadku informacji krytycznych zalecane jest skorzystanie z profesjonalnego tłumaczenia wykonanego przez człowieka. Nie ponosimy odpowiedzialności za jakiekolwiek nieporozumienia lub błędne interpretacje wynikające z użycia tego tłumaczenia.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T15:11:41+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "pl" } }, "nbformat": 4, diff --git a/translations/pt-BR/.co-op-translator.json b/translations/pt-BR/.co-op-translator.json index 62c265014..a4fe12f1f 100644 --- a/translations/pt-BR/.co-op-translator.json +++ b/translations/pt-BR/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "pt-BR" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:21:13+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "pt-BR" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:55:19+00:00", diff --git a/translations/pt-BR/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/pt-BR/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index ad448d115..11faacb20 100644 --- a/translations/pt-BR/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/pt-BR/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Exemplo: ajuste fino do Phi-4-mini-reasoning com o Apple MLX Framework**\n", + "## **Exemplo: ajuste fino do Phi-4-mini-reasoning com Apple MLX Framework**\n", "\n", - "Isso é baseado nos dados de FreedomIntelligence/medical-o1-reasoning-SFT, que aprimoram a capacidade do Phi-4-mini-reasoning de raciocinar sobre eventos médicos. Se você quiser saber mais sobre os dados, pode usar este link para obter mais informações: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Isto é baseado nos dados do FreedomIntelligence/medical-o1-reasoning-SFT, que aprimoram a capacidade do Phi-4-mini-reasoning de raciocinar sobre eventos médicos. Se você quiser saber mais sobre os dados, pode usar este link para obter mais informações: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Nota: Por favor, utilize dispositivos Apple silicon com 64gb de memória para executar este exemplo*\n" + "*Nota: Por favor, use dispositivos Apple silicon com 64gb de memória para executar este exemplo*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Dados**\n", "\n", - "Precisamos dividir os dados em treino e validação e colocá-los na pasta de dados. Observe que o apple mlx nomeia os dados de treinamento por padrão. O arquivo de treino é chamado train.jsonl e o de validação é chamado valid.json.\n" + "Precisamos dividir os dados em treino e validação e colocá-los na pasta data. Observe que o apple mlx nomeia os dados de treino por padrão. train é nomeado como train.jsonl e valid é nomeado como valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Treinamento**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testando**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Aviso Legal**: \nEste documento foi traduzido utilizando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos para garantir a precisão, esteja ciente de que traduções automatizadas podem conter erros ou imprecisões. O documento original em seu idioma nativo deve ser considerado a fonte autoritativa. Para informações críticas, recomenda-se a tradução profissional realizada por humanos. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações equivocadas decorrentes do uso desta tradução.\n" + "---\n\n\n**Aviso Legal**:\nEste documento foi traduzido usando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos pela precisão, por favor, esteja ciente de que traduções automatizadas podem conter erros ou imprecisões. O documento original em seu idioma nativo deve ser considerado a fonte autorizada. Para informações críticas, recomenda-se tradução profissional humana. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas decorrentes do uso desta tradução.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T18:37:48+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "br" } }, "nbformat": 4, diff --git a/translations/pt-PT/.co-op-translator.json b/translations/pt-PT/.co-op-translator.json index 63e0a71ee..cbc36f00c 100644 --- a/translations/pt-PT/.co-op-translator.json +++ b/translations/pt-PT/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "pt-PT" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:21:04+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "pt-PT" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:55:10+00:00", diff --git a/translations/pt-PT/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/pt-PT/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index e0a07e38c..c76b0f433 100644 --- a/translations/pt-PT/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/pt-PT/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Exemplo: ajuste fino do Phi-4-mini-reasoning com o Apple MLX Framework**\n", + "## **Exemplo : fine-tuning Phi-4-mini-reasoning com o Apple MLX Framework**\n", "\n", - "Isto é baseado nos dados de FreedomIntelligence/medical-o1-reasoning-SFT, que melhoram a capacidade do Phi-4-mini-reasoning de raciocinar sobre eventos médicos. Se quiser saber mais sobre os dados, pode usar este link para obter mais informações: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Isto baseia-se nos dados do FreedomIntelligence/medical-o1-reasoning-SFT, que melhora a capacidade do Phi-4-mini-reasoning para raciocinar sobre eventos médicos. Se quiser saber mais sobre os dados, pode usar este link para saber mais: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Nota: Por favor, utilize dispositivos Apple silicon com 64gb de memória para executar este exemplo*\n" + "*Nota: Por favor, use dispositivos Apple silicon com 64gb de memória para executar este exemplo*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Dados**\n", "\n", - "Precisamos dividir os dados em treino e validação e colocá-los na pasta de dados. Note que o apple mlx nomeia os dados de treino por padrão. O treino é chamado train.jsonl e a validação é chamada valid.json.\n" + "Precisamos dividir os dados em treino e validação e colocá-los na pasta data. Note que o apple mlx nomeia os dados de treino por defeito. o treino é chamado train.jsonl e a validação é chamada valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Treino**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testes**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Aviso Legal**: \nEste documento foi traduzido utilizando o serviço de tradução por IA [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos para garantir a precisão, é importante ter em conta que traduções automáticas podem conter erros ou imprecisões. O documento original na sua língua nativa deve ser considerado a fonte autoritária. Para informações críticas, recomenda-se a tradução profissional realizada por humanos. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas decorrentes da utilização desta tradução.\n" + "---\n\n\n**Aviso Legal**:\nEste documento foi traduzido utilizando o serviço de tradução automática [Co-op Translator](https://github.com/Azure/co-op-translator). Embora nos esforcemos pela precisão, esteja ciente de que traduções automáticas podem conter erros ou imprecisões. O documento original na sua língua nativa deve ser considerado a fonte autorizada. Para informações críticas, recomenda-se tradução profissional humana. Não nos responsabilizamos por quaisquer mal-entendidos ou interpretações incorretas resultantes da utilização desta tradução.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T15:11:09+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "pt" } }, "nbformat": 4, diff --git a/translations/ro/.co-op-translator.json b/translations/ro/.co-op-translator.json index f75cccbb9..12191a526 100644 --- a/translations/ro/.co-op-translator.json +++ b/translations/ro/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "ro" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:34:57+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "ro" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:58:51+00:00", diff --git a/translations/ro/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/ro/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index b8b9ac090..e3059d589 100644 --- a/translations/ro/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/ro/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -6,9 +6,9 @@ "source": [ "## **Exemplu: ajustarea fină a Phi-4-mini-reasoning cu Apple MLX Framework**\n", "\n", - "Aceasta se bazează pe datele de la FreedomIntelligence/medical-o1-reasoning-SFT, care îmbunătățesc capacitatea Phi-4-mini-reasoning de a raționa despre evenimente medicale. Dacă dorești să afli mai multe despre date, poți folosi acest link pentru a afla mai multe: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Acesta se bazează pe datele de la FreedomIntelligence/medical-o1-reasoning-SFT, care îmbunătățesc capacitatea Phi-4-mini-reasoning de a raționa despre evenimente medicale. Dacă doriți să aflați mai multe despre date, puteți folosi acest link pentru a afla mai multe despre ele: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", "\n", - "*Notă: Te rugăm să folosești dispozitive Apple silicon cu memorie de 64gb pentru a rula acest exemplu.*\n" + "*Notă: Vă rugăm să folosiți dispozitive Apple silicon cu memorie de 64gb pentru a rula acest exemplu*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Date**\n", "\n", - "Trebuie să împărțim datele în train și valid și să le plasăm în folderul data. Rețineți că apple mlx denumește datele de antrenament în mod implicit. train este denumit train.jsonl, iar valid este denumit valid.json.\n" + "Trebuie să împărțim datele în train și valid și să le plasăm în dosarul data. Rețineți că apple mlx denumește implicit datele de antrenament. train este denumit train.jsonl, iar valid este denumit valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Antrenament**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testare**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Declinare de responsabilitate**: \nAcest document a fost tradus folosind serviciul de traducere AI [Co-op Translator](https://github.com/Azure/co-op-translator). Deși ne străduim să asigurăm acuratețea, vă rugăm să fiți conștienți că traducerile automate pot conține erori sau inexactități. Documentul original în limba sa natală ar trebui considerat sursa autoritară. Pentru informații critice, se recomandă traducerea profesională realizată de un specialist uman. Nu ne asumăm responsabilitatea pentru eventualele neînțelegeri sau interpretări greșite care pot apărea din utilizarea acestei traduceri.\n" + "---\n\n\n**Declinare a responsabilității**:\nAcest document a fost tradus folosind serviciul de traducere AI [Co-op Translator](https://github.com/Azure/co-op-translator). În timp ce ne străduim pentru acuratețe, vă rugăm să rețineți că traducerile automate pot conține erori sau inexactități. Documentul original în limba sa nativă trebuie considerat sursa autorizată. Pentru informații critice, se recomandă traducerea profesională realizată de un om. Nu ne asumăm responsabilitatea pentru eventualele neînțelegeri sau interpretări greșite care decurg din utilizarea acestei traduceri.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-13T05:46:00+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "ro" } }, "nbformat": 4, diff --git a/translations/ru/.co-op-translator.json b/translations/ru/.co-op-translator.json index cd94ed622..cad6aa479 100644 --- a/translations/ru/.co-op-translator.json +++ b/translations/ru/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "ru" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:47:36+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "ru" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:52:21+00:00", diff --git a/translations/ru/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/ru/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 913ea1932..32d1c96e2 100644 --- a/translations/ru/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/ru/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Пример: тонкая настройка Phi-4-mini-reasoning с использованием Apple MLX Framework**\n", + "## **Пример: дообучение Phi-4-mini-reasoning с помощью Apple MLX Framework**\n", "\n", - "Это основано на данных из FreedomIntelligence/medical-o1-reasoning-SFT, которые улучшают способность Phi-4-mini-reasoning рассуждать о медицинских событиях. Если вы хотите узнать больше о данных, вы можете воспользоваться этой ссылкой: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Это основано на данных из FreedomIntelligence/medical-o1-reasoning-SFT, которые улучшают способность Phi-4-mini-reasoning рассуждать о медицинских событиях. Если вы хотите узнать больше о данных, вы можете использовать эту ссылку для дополнительной информации: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Примечание: Пожалуйста, используйте устройства Apple Silicon с 64 ГБ памяти для запуска этого примера.*\n" + "*Примечание: для запуска этого примера используйте устройства Apple silicon с 64 ГБ памяти*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Данные**\n", "\n", - "Нам нужно разделить данные на train и valid и разместить их в папке data. Обратите внимание, что apple mlx по умолчанию называет данные для обучения. train называется train.jsonl, а valid называется valid.json.\n" + "Нам нужно разделить данные на train и valid и поместить их в папку data. Обратите внимание, что apple mlx по умолчанию называет тренировочные данные. train называется train.jsonl, а valid называется valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Обучение**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Тестирование**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Отказ от ответственности**: \nЭтот документ был переведен с помощью сервиса автоматического перевода [Co-op Translator](https://github.com/Azure/co-op-translator). Несмотря на наши усилия обеспечить точность, автоматические переводы могут содержать ошибки или неточности. Оригинальный документ на его родном языке следует считать авторитетным источником. Для получения критически важной информации рекомендуется профессиональный перевод человеком. Мы не несем ответственности за любые недоразумения или неправильные интерпретации, возникшие в результате использования данного перевода.\n" + "---\n\n\n**Отказ от ответственности**:\nЭтот документ был переведен с использованием сервиса машинного перевода [Co-op Translator](https://github.com/Azure/co-op-translator). Несмотря на наши усилия по обеспечению точности, имейте в виду, что автоматический перевод может содержать ошибки или неточности. Оригинальный документ на его исходном языке следует считать авторитетным источником. Для получения критически важной информации рекомендуется обратиться к профессиональному человеческому переводу. Мы не несем ответственности за любые недоразумения или неправильные толкования, возникшие в результате использования этого перевода.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T18:36:38+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "ru" } }, "nbformat": 4, diff --git a/translations/sk/.co-op-translator.json b/translations/sk/.co-op-translator.json index be9e4d774..e0b6e1566 100644 --- a/translations/sk/.co-op-translator.json +++ b/translations/sk/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "sk" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:34:47+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "sk" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:58:40+00:00", diff --git a/translations/sk/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/sk/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index ae666e419..7b69c013a 100644 --- a/translations/sk/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/sk/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Ukážka: doladenie Phi-4-mini-reasoning pomocou Apple MLX Framework**\n", + "## **Ukážka : doladenie Phi-4-mini-reasoning pomocou Apple MLX Framework**\n", "\n", - "Toto je založené na dátach z FreedomIntelligence/medical-o1-reasoning-SFT, ktoré zlepšujú schopnosť Phi-4-mini-reasoning uvažovať o medicínskych udalostiach. Ak sa chcete dozvedieť viac o týchto dátach, môžete použiť tento odkaz na získanie ďalších informácií: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Toto je založené na údajoch z FreedomIntelligence/medical-o1-reasoning-SFT, ktorý zlepšuje schopnosť Phi-4-mini-reasoning uvažovať o lekárskych udalostiach. Ak sa chcete o údajoch dozvedieť viac, môžete použiť tento odkaz: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Poznámka: Prosím, použite zariadenia Apple silicon s pamäťou 64 GB na spustenie tejto ukážky.*\n" + "*Poznámka: Na spustenie tejto ukážky prosím použite zariadenia Apple silicon s 64GB pamäťou*\n" ] }, { @@ -77,9 +77,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **Dáta**\n", + "### **Údaje**\n", "\n", - "Dáta musíme rozdeliť na tréningové a validačné a umiestniť ich do priečinka data. Všimnite si, že apple mlx predvolene pomenúva tréningové dáta. Tréningové dáta sú pomenované ako train.jsonl a validačné dáta ako valid.json.\n" + "Musíme rozdeliť údaje na trénovacie a validačné a umiestniť ich do zložky data. Všimnite si, že apple mlx štandardne pomenúva trénovacie údaje. train sa nazýva train.jsonl a valid sa nazýva valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Výcvik**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testovanie**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Upozornenie**: \nTento dokument bol preložený pomocou služby AI prekladu [Co-op Translator](https://github.com/Azure/co-op-translator). Hoci sa snažíme o presnosť, prosím, berte na vedomie, že automatizované preklady môžu obsahovať chyby alebo nepresnosti. Pôvodný dokument v jeho pôvodnom jazyku by mal byť považovaný za autoritatívny zdroj. Pre kritické informácie sa odporúča profesionálny ľudský preklad. Nie sme zodpovední za akékoľvek nedorozumenia alebo nesprávne interpretácie vyplývajúce z použitia tohto prekladu.\n" + "---\n\n\n**Vyhlásenie o zodpovednosti**:\nTento dokument bol preložený pomocou AI prekladateľskej služby [Co-op Translator](https://github.com/Azure/co-op-translator). Hoci sa snažíme o presnosť, vezmite prosím na vedomie, že automatické preklady môžu obsahovať chyby alebo nepresnosti. Pôvodný dokument v jeho natívnom jazyku by mal byť považovaný za autoritatívny zdroj. Pre kritické informácie sa odporúča profesionálny ľudský preklad. Nie sme zodpovední za žiadne nedorozumenia alebo nesprávne interpretácie vyplývajúce z použitia tohto prekladu.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-13T05:45:53+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "sk" } }, "nbformat": 4, diff --git a/translations/sl/.co-op-translator.json b/translations/sl/.co-op-translator.json index 8d4021739..b149f40fa 100644 --- a/translations/sl/.co-op-translator.json +++ b/translations/sl/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "sl" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:04:22+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "sl" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:59:34+00:00", diff --git a/translations/sl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/sl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 5f47ad94c..4686bda94 100644 --- a/translations/sl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/sl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Primer: prilagajanje Phi-4-mini-reasoning z Apple MLX Framework**\n", + "## **Vzorec : dodelava Phi-4-mini-reasoning z Apple MLX Framework**\n", "\n", - "To temelji na podatkih iz FreedomIntelligence/medical-o1-reasoning-SFT, ki izboljšujejo sposobnost Phi-4-mini-reasoning za razumevanje medicinskih dogodkov. Če želite izvedeti več o podatkih, lahko uporabite to povezavo za dodatne informacije: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "To temelji na podatkih iz FreedomIntelligence/medical-o1-reasoning-SFT, ki izboljšujejo sposobnost Phi-4-mini-reasoning za razmišljanje o medicinskih dogodkih. Če želite izvedeti več o podatkih, lahko uporabite to povezavo za več informacij: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Opomba: Prosimo, uporabite Apple silicon naprave s 64 GB pomnilnika za zagon tega primera.*\n" + "*Opomba: Prosimo, uporabite Apple silikon naprave z 64GB pomnilnika za izvajanje tega vzorca*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Podatki**\n", "\n", - "Podatke moramo razdeliti na train in valid ter jih postaviti v mapo data. Upoštevajte, da apple mlx privzeto poimenuje podatke za učenje. train je poimenovan train.jsonl, valid pa valid.json.\n" + "Podatke moramo razdeliti na train in valid ter jih shraniti v mapo data. Upoštevajte, da apple mlx privzeto poimenuje podatke za učenje. train je poimenovan train.jsonl in valid je poimenovan valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Usposabljanje**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testiranje**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Omejitev odgovornosti**: \nTa dokument je bil preveden z uporabo storitve za prevajanje z umetno inteligenco [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, vas prosimo, da upoštevate, da lahko avtomatizirani prevodi vsebujejo napake ali netočnosti. Izvirni dokument v njegovem maternem jeziku je treba obravnavati kot avtoritativni vir. Za ključne informacije priporočamo profesionalni človeški prevod. Ne prevzemamo odgovornosti za morebitna nesporazumevanja ali napačne razlage, ki bi nastale zaradi uporabe tega prevoda.\n" + "---\n\n\n**Omejitev odgovornosti**:\nTa dokument je bil preveden z uporabo AI prevajalske storitve [Co-op Translator](https://github.com/Azure/co-op-translator). Čeprav si prizadevamo za natančnost, vas prosimo, da upoštevate, da avtomatizirani prevodi lahko vsebujejo napake ali netočnosti. Izvirni dokument v njegovem izvirnem jeziku je treba obravnavati kot avtoritativni vir. Za kritične informacije je priporočljiv strokovni človeški prevod. Ne odgovarjamo za morebitna nesporazume ali napačne interpretacije, ki izhajajo iz uporabe tega prevoda.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-13T05:46:30+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "sl" } }, "nbformat": 4, diff --git a/translations/sr/.co-op-translator.json b/translations/sr/.co-op-translator.json index be03a5dd0..6d2efcca0 100644 --- a/translations/sr/.co-op-translator.json +++ b/translations/sr/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "sr" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:04:03+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "sr" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:59:12+00:00", diff --git a/translations/sr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/sr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 8745ad6b3..415815492 100644 --- a/translations/sr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/sr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Пример: фино подешавање Phi-4-mini-reasoning уз Apple MLX Framework**\n", + "## **Пример : фино подешавање Phi-4-mini-reasoning уз Apple MLX оквир**\n", "\n", - "Ово се заснива на подацима из FreedomIntelligence/medical-o1-reasoning-SFT, који побољшавају способност Phi-4-mini-reasoning за расуђивање о медицинским догађајима. Ако желите да сазнате више о подацима, можете користити овај линк за више информација: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Ово је базирано на подацима са FreedomIntelligence/medical-o1-reasoning-SFT, који побољшавају способност Phi-4-mini-reasoning модела да разуме медицинске догађаје. Ако желите да сазнате више о подацима, можете користити ову везу да бисте сазнали више о томе: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Напомена: Молимо користите Apple silicon уређаје са 64GB меморије за покретање овог примера*\n" + "*Напомена： Молимо користите Apple silicon уређаје са 64GB меморије за покретање овог примера*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Подаци**\n", "\n", - "Потребно је да поделимо податке на train и valid и сместимо их у фасциклу data. Имајте у виду да apple mlx подразумевано именује податке за обуку. train се зове train.jsonl, а valid се зове valid.json.\n" + "Потребно је да поделимо податке на train и valid и сместимо их у фасциклу data. Имајте у виду да apple mlx подразумевано именује тренинг податке. train се именује као train.jsonl, а valid као valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Тренинг**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Тестирање**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Одрицање од одговорности**: \nОвај документ је преведен коришћењем услуге за превођење помоћу вештачке интелигенције [Co-op Translator](https://github.com/Azure/co-op-translator). Иако се трудимо да обезбедимо тачност, молимо вас да имате у виду да аутоматски преводи могу садржати грешке или нетачности. Оригинални документ на његовом изворном језику треба сматрати меродавним извором. За критичне информације препоручује се професионални превод од стране људи. Не преузимамо одговорност за било каква погрешна тумачења или неспоразуме који могу настати услед коришћења овог превода.\n" + "---\n\n\n**Изјава о одрицању одговорности**:\nОвај документ је преведен коришћењем услуге за аутоматски превод [Co-op Translator](https://github.com/Azure/co-op-translator). Иако тежимо тачности, имајте у виду да аутоматски преводи могу садржати грешке или нетачности. Оригинални документ на његовом изворном језику треба сматрати ауторитативним извором. За критичне информације препоручује се професионални људски превод. Нисмо одговорни за било каква неспоразума или погрешна тумачења која произилазе из коришћења овог превода.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-13T05:46:16+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "sr" } }, "nbformat": 4, diff --git a/translations/sv/.co-op-translator.json b/translations/sv/.co-op-translator.json index fbb405112..73ec34585 100644 --- a/translations/sv/.co-op-translator.json +++ b/translations/sv/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "sv" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:26:43+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "sv" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:56:21+00:00", diff --git a/translations/sv/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/sv/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index ea3f7f6e8..5a408c78d 100644 --- a/translations/sv/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/sv/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -6,9 +6,9 @@ "source": [ "## **Exempel: finjustering av Phi-4-mini-reasoning med Apple MLX Framework**\n", "\n", - "Detta baseras på data från FreedomIntelligence/medical-o1-reasoning-SFT, vilket förbättrar förmågan hos Phi-4-mini-reasoning att resonera kring medicinska händelser. Om du vill lära dig mer om datan kan du använda denna länk för att läsa mer: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Detta är baserat på data från FreedomIntelligence/medical-o1-reasoning-SFT, som förbättrar Phi-4-mini-reasonings förmåga att resonera om medicinska händelser. Om du vill lära dig mer om datan kan du använda den här länken för att få mer information: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Obs: Vänligen använd Apple silicon-enheter med 64 GB minne för att köra detta exempel*\n" + "*Notera: Använd 64GB-minnesenheter med Apple silicon för att köra detta exempel*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Data**\n", "\n", - "Vi behöver dela upp datan i train och valid och placera dem i data-mappen. Observera att apple mlx namnger träningsdatan som standard. train heter train.jsonl och valid heter valid.json.\n" + "Vi behöver dela upp data i train och valid och placera dem i data-mappen. Observera att apple mlx namnger träningsdata som standard. train heter train.jsonl och valid heter valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Utbildning**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Testning**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Ansvarsfriskrivning**: \nDetta dokument har översatts med hjälp av AI-översättningstjänsten [Co-op Translator](https://github.com/Azure/co-op-translator). Även om vi strävar efter noggrannhet, bör du vara medveten om att automatiserade översättningar kan innehålla fel eller brister. Det ursprungliga dokumentet på dess originalspråk bör betraktas som den auktoritativa källan. För kritisk information rekommenderas professionell mänsklig översättning. Vi ansvarar inte för eventuella missförstånd eller feltolkningar som uppstår vid användning av denna översättning.\n" + "---\n\n\n**Ansvarsfriskrivning**:\nDetta dokument har översatts med hjälp av AI-översättningstjänsten [Co-op Translator](https://github.com/Azure/co-op-translator). Även om vi strävar efter noggrannhet, var vänlig notera att automatiska översättningar kan innehålla fel eller brister. Det ursprungliga dokumentet på dess modersmål bör betraktas som den auktoritativa källan. För kritisk information rekommenderas professionell mänsklig översättning. Vi ansvarar inte för några missförstånd eller feltolkningar som uppstår till följd av användningen av denna översättning.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:57:21+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "sv" } }, "nbformat": 4, diff --git a/translations/sw/.co-op-translator.json b/translations/sw/.co-op-translator.json index f514b70e7..5fa304b1e 100644 --- a/translations/sw/.co-op-translator.json +++ b/translations/sw/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "sw" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:58:28+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "sw" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:58:06+00:00", diff --git a/translations/sw/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/sw/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 03522bb3d..8630edff1 100644 --- a/translations/sw/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/sw/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Mfano: kurekebisha Phi-4-mini-reasoning kwa kutumia Apple MLX Framework**\n", + "## **Mfano : kufanyia marekebisho Phi-4-mini-reasoning na Apple MLX Framework**\n", "\n", - "Hii inatokana na data kutoka FreedomIntelligence/medical-o1-reasoning-SFT, ambayo inaboresha uwezo wa Phi-4-mini-reasoning kufikiria kuhusu matukio ya kitabibu. Ikiwa unataka kujifunza zaidi kuhusu data hii, unaweza kutumia kiungo hiki kujifunza zaidi: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Hii inategemea data kutoka FreedomIntelligence/medical-o1-reasoning-SFT, ambayo inaongeza uwezo wa Phi-4-mini-reasoning kufikiria kuhusu matukio ya matibabu. Ikiwa unataka kujifunza zaidi kuhusu data hii, unaweza kutumia kiungo hiki kujifunza zaidi kuhusu hiyo: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Note: Tafadhali tumia vifaa vya Apple silicon vyenye kumbukumbu ya 64gb kuendesha mfano huu*\n" + "*Kumbuka： Tafadhali tumia vifaa vya Apple silicon vyenye kumbukumbu ya 64gb kuendesha mfano huu*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Data**\n", "\n", - "Tunahitaji kugawanya data katika train na valid na kuiweka kwenye folda ya data. Kumbuka kwamba apple mlx huipa majina data ya mafunzo kwa chaguo-msingi. train inaitwa train.jsonl na valid inaitwa valid.json.\n" + "Tunahitaji kugawanya data katika mafunzo na valid na kuziweka katika folda ya data. Kumbuka kuwa apple mlx huita data ya mafunzo kwa chaguo-msingi. train huitwa train.jsonl na valid huitwa valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Mafunzo**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Kujaribu**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Kanusho**: \nHati hii imetafsiriwa kwa kutumia huduma ya kutafsiri ya AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ingawa tunajitahidi kuhakikisha usahihi, tafadhali fahamu kuwa tafsiri za kiotomatiki zinaweza kuwa na makosa au kutokuwa sahihi. Hati ya asili katika lugha yake ya awali inapaswa kuzingatiwa kama chanzo cha mamlaka. Kwa taarifa muhimu, tafsiri ya kitaalamu ya binadamu inapendekezwa. Hatutawajibika kwa kutoelewana au tafsiri zisizo sahihi zinazotokana na matumizi ya tafsiri hii.\n" + "---\n\n\n**Kionyozo**:\nHati hii imetafsiriwa kwa kutumia huduma ya tafsiri ya AI [Co-op Translator](https://github.com/Azure/co-op-translator). Ingawa tunajitahidi kupata usahihi, tafadhali fahamu kwamba tafsiri za kiotomatiki zinaweza kuwa na makosa au upungufu wa usahihi. Hati ya asili katika lugha yake halisi inapaswa kuchukuliwa kama chanzo cha mamlaka. Kwa taarifa muhimu, tafsiri ya kitaalamu inayofanywa na binadamu inapendekezwa. Hatutojibu kwa kuelewa vibaya au tafsiri potofu zinazotokea kutokana na matumizi ya tafsiri hii.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-13T05:45:29+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "sw" } }, "nbformat": 4, diff --git a/translations/ta/.co-op-translator.json b/translations/ta/.co-op-translator.json index 6cb3a2836..8dd00736f 100644 --- a/translations/ta/.co-op-translator.json +++ b/translations/ta/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "ta" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:07:00+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "ta" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-10-11T11:53:44+00:00", diff --git a/translations/ta/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/ta/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index b0c579359..9f2692709 100644 --- a/translations/ta/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/ta/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **மாதிரி : நுட்ப சீரமைப்பு Phi-4-mini-reasoning உடன் Apple MLX Framewrok**\n", + "## **மாதிரி : Apple MLX கட்டமைப்புடன் Phi-4-mini-reasoning நுணுக்கமாக அமைத்தல்**\n", "\n", - "இது FreedomIntelligence/medical-o1-reasoning-SFT என்ற தரவுகளின் அடிப்படையில் உருவாக்கப்பட்டதாகும், இது Phi-4-mini-reasoning இன் மருத்துவ சம்பவங்களைப் பற்றி வாதிடும் திறனை மேம்படுத்துகிறது. அந்த தரவுகளைப் பற்றி மேலும் அறிய விரும்பினால், நீங்கள் இதைப் பற்றிய மேலதிக தகவலுக்கு இந்த இணைப்பைப் பயன்படுத்தலாம்: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "இது FreedomIntelligence/medical-o1-reasoning-SFT இல் இருந்து பெறப்பட்ட தரவின் அடிப்படையில் உருவாக்கப்பட்டதாகும், இது Phi-4-mini-reasoning இன் மருத்துவ சம்பவங்களைப் பற்றிய வாதங்களை மேம்படுத்துகிறது. நீங்கள் அந்த தரவைப் பற்றி மேலும் அறிந்துகொள்ள விரும்பினால், கீழ்காணும் இணைப்பைப் பயன்படுத்தி அதைப் பற்றி மேலும் அறியலாம்: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*குறிப்பு：Please use 64gb memory Apple silicon devices to run this sample*\n" + "*குறிப்பு： இந்த மாதிரியை இயக்க 64gb நினைவக கொண்ட Apple சிலிகான் சாதனங்களை பயன்படுத்தவும்*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **தரவு**\n", "\n", - "தரவை train மற்றும் valid ஆக பிரித்து அவற்றை data கோப்பகத்தில் வைக்க வேண்டும். கவனிக்கவும்: apple mlx பயிற்சி தரவினை இயல்பாக பெயரிடுகிறது. train என்பதற்கான பெயர் train.jsonl ஆகும் மற்றும் valid என்பதற்கான பெயர் valid.json ஆகும்.\n" + "நாம் தரவுகளை பயிற்சி மற்றும் செல்லுபடியானதாக பிரித்து அவற்றை data கோப்பகத்துக்குள் வைக்க வேண்டும். apple mlx இயல்பாக பயிற்சி தரவை பெயரிடுகிறது என்பதை கவனிக்கவும். train எனப்படும் கோப்பு train.jsonl எனும் பெயரைக்காணும் மற்றும் valid கோப்பு valid.json எனப்படும்.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -343,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "---\n\n\nஅறிவிப்பு:\nஇந்த ஆவணம் AI மொழிபெயர்ப்பு சேவையாகும் [Co-op Translator](https://github.com/Azure/co-op-translator) மூலம் மொழிபெயர்க்கப்பட்டுள்ளது. நாங்கள் துல்லியத்திற்காக முயற்சித்தாலும், தானாக உருவாகும் மொழிபெயர்ப்புகளில் பிழைகள் அல்லது துல்லியக்குறைவுகள் இருக்கலாம் என்பதை தயவுசெய்து கவனத்தில் கொண்டு கொள்ளவும். முக்கியமான தகவல்களுக்கு, மூல ஆவணம் அதன் சொந்த (மூல) மொழியில் அதிகாரப்பூர்வ ஆதாரமாக கருதப்பட வேண்டும். அவசரமான அல்லது முக்கியமான விவரங்களுக்கு, ஒரு தொழில்முறை மனித மொழிபெயர்ப்பைப் பெற பரிந்துரைக்கப்படுகிறது. இந்த மொழிபெயர்ப்பைப் பயன்படுத்துவதினால் ஏற்படும் எந்தவொரு தவறான புரிதல்கள் அல்லது தவறான விளக்கங்களுக்கும் நாங்கள் பொறுப்பேற்கமாட்டோம்.\n\n" + "---\n\n\n**மறுப்பு**:\nஇந்த ஆவணம் AI மொழிபெயர்ப்பு சேவை [Co-op Translator](https://github.com/Azure/co-op-translator) பயன்படுத்தி மொழிபெயர்க்கப்பட்டுள்ளது. நாங்கள் துல்லியத்திற்காக முயற்சி செய்துள்ளோம், ஆனால் தானாக செய்யப்படும் மொழிபெயர்ப்புகளில் பிழைகள் அல்லது தவறுகள் இருக்கலாம் என்பதை கவனத்தில் கொள்ளவும். அசல் ஆவணம் அதன் தாய்மொழியில் அதிகாரப்பூர்வ ஆதாரமாக கருதப்பட வேண்டும். முக்கியமான தகவல்களுக்கு, தொழில்நுட்பமான மனித மொழிபெயர்ப்பு பரிந்துரைக்கப்படுகிறது. இந்த மொழிபெயர்ப்பைப் பயன்படுத்துவதால் ஏற்படும் எந்த தவறான புரிதல்கள் அல்லது தவறான விளக்கத்திற்கும் நாங்கள் பொறுப்பில்வில்லை.\n\n" ] } ], @@ -2687,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-12-22T10:08:22+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "ta" } }, "nbformat": 4, diff --git a/translations/te/.co-op-translator.json b/translations/te/.co-op-translator.json index 60773a9e8..bdaa7c678 100644 --- a/translations/te/.co-op-translator.json +++ b/translations/te/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "te" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:09:46+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "te" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-12-21T22:01:16+00:00", diff --git a/translations/te/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/te/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 8ca400d91..b8e00f636 100644 --- a/translations/te/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/te/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **నమూనా : Phi-4-mini-reasoning ను Apple MLX Framewrok తో ఫైన్-ట్యూనింగ్**\n", + "## **నమూనా: Phi-4-mini-reasoning ను Apple MLX ఫ్రేమ్‌వర్క్‌తో ఫైన్-ట్యూన్ చేయడం**\n", "\n", - "ఇది FreedomIntelligence/medical-o1-reasoning-SFT డేటా ఆధారంగా ఉంది, ఇది Phi-4-mini-reasoning కు వైద్య ఘటనల గురించి తర్కం చేయగల సామర్థ్యాన్ని పెంపొందిస్తుంది. డేటా గురించి మరింత తెలుసుకోవాలనుకుంటే, మీరు ఈ లింక్‌ను ఉపయోగించి మరింత తెలుసుకోవచ్చు: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "ఇది FreedomIntelligence/medical-o1-reasoning-SFT నుండి డేటా ఆధారంగా ఉంది, ఇది Phi-4-mini-reasoning యొక్క వైద్య సంబంధ సంఘటనలపై తర్కం పట్టు సామర్థ్యాన్ని మెరుగుపరుస్తుంది. మీరు డేటా గురించి మరింత తెలుసుకోవాలనుకుంటే, ఈ లింక్ ద్వారా దీనిని తెలుసుకొనవచ్చు: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*గమనిక： దయచేసి ఈ నమూనాను నడపడానికి 64gb మెమొరీ Apple silicon పరికరాలను ఉపయోగించండి*\n" + "*గమనిక: ఈ నమూనాని అమలు చేసేందుకు 64GB మెమరీ ఉన్న Apple సిలికాన్ పరికరాలను వాడగలరు*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **డేటా**\n", "\n", - "మేము డేటాను train మరియు valid గా విడగొట్టి data ఫోల్డర్‌లో ఉంచాలి. గమనించండి, apple mlx డిఫాల్ట్‌గా training డేటాకు పేరు కేటాయిస్తుంది. train పేరు train.jsonl గా ఉంటుంది మరియు valid పేరు valid.json గా ఉంటుంది.\n" + "మేము డేటాను ట్రెయిన్ మరియు వాలిడ్‌గా విభజించి వాటిని డేటా ఫోల్డర్‌లో ఉంచాలి. apple mlx డిఫాల్ట్‌గా ట్రెయినింగ్ డేటాను train.jsonl అనే పేరుతో ఉంచుతుందని గమనించండి. valid.json అనే పేరుతో(valid) వాలిడ్ డేటాను ఉంచుతుంది.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -239,7 +241,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **శిక్షణ**\n" + "### **ప్రశిక్షణ**\n" ] }, { @@ -343,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "---\n\n\nనిరాకరణ:\nఈ పత్రం AI అనువాద సేవ [Co-op Translator](https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించబడింది. మేము ఖచ్చితత్వానికి ప్రయత్నిస్తున్నప్పటికీ, ఆటోమేటెడ్ అనువాదాల్లో తప్పులు లేదా లోపాలు ఉండవచ్చని దయచేసి గమనించండి. మూల పత్రాన్ని దాని స్థానిక భాషలోనే అధికారిక మూలంగా పరిగణించాలి. ముఖ్యమైన సమాచారం కోసం వృత్తిపరమైన మానవ అనువాదాన్ని సిఫారసు చేయబడుతుంది. ఈ అనువాదాన్ని ఉపయోగించడంవల్ల కలిగే ఏవైనా అవగాహనా లోపాలు లేదా తప్పుగా అర్థం చేసుకోవడాలకు మేము బాధ్యత వహించము.\n\n" + "---\n\n\n**అస్వీకరణ**:\nఈ పత్రం AI అనువాద సేవ [Co-op Translator](https://github.com/Azure/co-op-translator) ఉపయోగించి అనువదించబడింది. మేము ఖచ్చితత్వానికి ప్రయత్నిస్తున్నప్పటికీ, ఆటోమేటెడ్ అనువాదాలు తప్పులు లేదా అసమగ్రతలను కలిగి ఉండవచ్చు. దాని స్వదేశ భాషలో ఉన్న అసలు పత్రాన్ని అధికారం కలిగిన మూలంగా పరిగణించాలి. కీలకమైన సమాచారం కోసం, ప్రొఫెషనల్ మానవ అనువాదాన్ని సిఫారసు చేస్తాము. ఈ అనువాదం ఉపయోగం వల్ల కలిగే ఏవైనా అపార్థాలు లేదా తప్పుదారులు కోసం మేము బాధ్యత వహించము.\n\n" ] } ], @@ -2687,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-12-22T10:11:30+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "te" } }, "nbformat": 4, diff --git a/translations/th/.co-op-translator.json b/translations/th/.co-op-translator.json index 91667cefc..f77e5717a 100644 --- a/translations/th/.co-op-translator.json +++ b/translations/th/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "th" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:26:33+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "th" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:56:11+00:00", diff --git a/translations/th/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/th/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 08eb953c4..024b3ae8f 100644 --- a/translations/th/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/th/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **ตัวอย่าง: การปรับแต่ง Phi-4-mini-reasoning ด้วย Apple MLX Framework**\n", + "## **ตัวอย่าง : การปรับแต่ง Phi-4-mini-reasoning ด้วย Apple MLX Framework**\n", "\n", - "นี่เป็นข้อมูลที่มาจาก FreedomIntelligence/medical-o1-reasoning-SFT ซึ่งช่วยเพิ่มความสามารถของ Phi-4-mini-reasoning ในการวิเคราะห์เหตุการณ์ทางการแพทย์ หากคุณต้องการเรียนรู้เพิ่มเติมเกี่ยวกับข้อมูลนี้ คุณสามารถใช้ลิงก์นี้เพื่อศึกษาข้อมูลเพิ่มเติม: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "นี่อิงจากข้อมูลจาก FreedomIntelligence/medical-o1-reasoning-SFT ซึ่งช่วยเพิ่มความสามารถของ Phi-4-mini-reasoning ในการให้เหตุผลเกี่ยวกับเหตุการณ์ทางการแพทย์ หากคุณต้องการเรียนรู้เพิ่มเติมเกี่ยวกับข้อมูลนี้ คุณสามารถใช้ลิงก์นี้เพื่อเรียนรู้เพิ่มเติมได้: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*หมายเหตุ: กรุณาใช้อุปกรณ์ Apple silicon ที่มีหน่วยความจำ 64GB ในการรันตัวอย่างนี้*\n" + "*หมายเหตุ： กรุณาใช้เครื่อง Apple silicon ที่มีหน่วยความจำ 64gb เพื่อรันตัวอย่างนี้*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **ข้อมูล**\n", "\n", - "เราจำเป็นต้องแบ่งข้อมูลออกเป็น train และ valid และวางไว้ในโฟลเดอร์ข้อมูล โปรดทราบว่า apple mlx ตั้งชื่อข้อมูลการฝึกอบรมโดยค่าเริ่มต้น train จะถูกตั้งชื่อว่า train.jsonl และ valid จะถูกตั้งชื่อว่า valid.json\n" + "เราจำเป็นต้องแบ่งข้อมูลออกเป็น train และ valid และวางไว้ในโฟลเดอร์ data โปรดทราบว่า apple mlx ตั้งชื่อข้อมูลการฝึกโดยค่าเริ่มต้น train จะถูกตั้งชื่อว่า train.jsonl และ valid จะถูกตั้งชื่อว่า valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **การฝึกอบรม**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **การทดสอบ**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**ข้อจำกัดความรับผิดชอบ**: \nเอกสารนี้ได้รับการแปลโดยใช้บริการแปลภาษา AI [Co-op Translator](https://github.com/Azure/co-op-translator) แม้ว่าเราจะพยายามให้การแปลมีความถูกต้องมากที่สุด แต่โปรดทราบว่าการแปลโดยอัตโนมัติอาจมีข้อผิดพลาดหรือความไม่ถูกต้อง เอกสารต้นฉบับในภาษาดั้งเดิมควรถือเป็นแหล่งข้อมูลที่เชื่อถือได้ สำหรับข้อมูลที่สำคัญ ขอแนะนำให้ใช้บริการแปลภาษามืออาชีพ เราไม่รับผิดชอบต่อความเข้าใจผิดหรือการตีความผิดที่เกิดจากการใช้การแปลนี้\n" + "---\n\n\n**ปฏิเสธความรับผิดชอบ**:\nเอกสารนี้ได้รับการแปลโดยใช้บริการแปลภาษา AI [Co-op Translator](https://github.com/Azure/co-op-translator) ขณะที่เราพยายามให้ความถูกต้อง โปรดทราบว่าการแปลโดยอัตโนมัติอาจมีข้อผิดพลาดหรือความไม่ถูกต้อง เอกสารต้นฉบับในภาษาต้นทางควรถูกพิจารณาเป็นแหล่งข้อมูลที่เชื่อถือได้ สำหรับข้อมูลที่สำคัญ แนะนำให้ใช้การแปลโดยมนุษย์มืออาชีพ เราไม่รับผิดชอบต่อความเข้าใจผิดหรือการตีความที่ผิดพลาดที่เกิดขึ้นจากการใช้การแปลนี้\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:57:14+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "th" } }, "nbformat": 4, diff --git a/translations/tl/.co-op-translator.json b/translations/tl/.co-op-translator.json index d18a12406..cb8306dfc 100644 --- a/translations/tl/.co-op-translator.json +++ b/translations/tl/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "tl" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:15:44+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "tl" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:57:56+00:00", diff --git a/translations/tl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/tl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 372ac84c8..4446a8b77 100644 --- a/translations/tl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/tl/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Sample : fine-tuning Phi-4-mini-reasoning gamit ang Apple MLX Framework**\n", + "## **Halimbawa : fine-tuning Phi-4-mini-reasoning gamit ang Apple MLX Framewrok**\n", "\n", - "Ito ay batay sa datos mula sa FreedomIntelligence/medical-o1-reasoning-SFT, na nagpapahusay sa kakayahan ng Phi-4-mini-reasoning na mag-isip tungkol sa mga medikal na pangyayari. Kung nais mong matuto pa tungkol sa datos, maaari mong gamitin ang link na ito upang matuto pa: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Ito ay batay sa datos mula sa FreedomIntelligence/medical-o1-reasoning-SFT, na nagpapahusay sa kakayahan ng Phi-4-mini-reasoning na magpaliwanag tungkol sa mga medikal na pangyayari. Kung nais mong malaman pa tungkol sa datos, maaari mong gamitin ang link na ito para matuto pa: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Note： Mangyaring gumamit ng 64gb memory Apple silicon devices upang patakbuhin ang sample na ito*\n" + "*Paalala： Mangyaring gumamit ng 64gb memory Apple silicon na mga device upang patakbuhin ang halimbawang ito*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Data**\n", "\n", - "Kailangan nating hatiin ang data sa train at valid at ilagay ito sa data folder. Tandaan na ang apple mlx ay pinapangalanan ang training data bilang default. Ang train ay pinangalanang train.jsonl at ang valid ay pinangalanang valid.json.\n" + "Kailangan nating hatiin ang data sa train at valid at ilagay ito sa data folder. Tandaan na ang apple mlx ay awtomatikong pinapangalanan ang training data. Ang train ay pinangalanang train.jsonl at ang valid ay pinangalanang valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Pagsasanay**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Pagsubok**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Paunawa**: \nAng dokumentong ito ay isinalin gamit ang AI translation service na [Co-op Translator](https://github.com/Azure/co-op-translator). Bagama't sinisikap naming maging tumpak, tandaan na ang mga awtomatikong pagsasalin ay maaaring maglaman ng mga pagkakamali o hindi pagkakatugma. Ang orihinal na dokumento sa kanyang katutubong wika ang dapat ituring na opisyal na sanggunian. Para sa mahalagang impormasyon, inirerekomenda ang propesyonal na pagsasalin ng tao. Hindi kami mananagot sa anumang hindi pagkakaunawaan o maling interpretasyon na maaaring magmula sa paggamit ng pagsasaling ito.\n" + "---\n\n\n**Pagtatanggi**:\nAng dokumentong ito ay isinalin gamit ang serbisyo ng AI translation na [Co-op Translator](https://github.com/Azure/co-op-translator). Bagama't nagsusumikap kami para sa katumpakan, pakatandaan na ang awtomatikong pagsasalin ay maaaring maglaman ng mga pagkakamali o hindi pagkakatugma. Ang orihinal na dokumento sa orihinal nitong wika ang dapat ituring na pangunahing sanggunian. Para sa mahahalagang impormasyon, inirerekomenda ang propesyonal na pagsasalin ng tao. Hindi kami mananagot sa anumang maling pagkakaintindi o maling interpretasyon na nagmula sa paggamit ng pagsasaling ito.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:58:28+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "tl" } }, "nbformat": 4, diff --git a/translations/tr/.co-op-translator.json b/translations/tr/.co-op-translator.json index 06ceb6e6f..7f44324e8 100644 --- a/translations/tr/.co-op-translator.json +++ b/translations/tr/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "tr" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T09:53:46+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "tr" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:55:49+00:00", diff --git a/translations/tr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/tr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 26f25b911..5793a156a 100644 --- a/translations/tr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/tr/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Örnek: Phi-4-mini-reasoning'i Apple MLX Framework ile ince ayar yapmak**\n", + "## **Örnek : Apple MLX Framework ile Phi-4-mini-reasoning'in ince ayarı**\n", "\n", - "Bu, Phi-4-mini-reasoning'in tıbbi olaylar hakkında akıl yürütme yeteneğini geliştiren FreedomIntelligence/medical-o1-reasoning-SFT verilerine dayanmaktadır. Veriler hakkında daha fazla bilgi edinmek istiyorsanız, bu bağlantıyı kullanarak daha fazla bilgi alabilirsiniz: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Bu, Phi-4-mini-reasoning'in tıbbi olaylar hakkında akıl yürütme yeteneğini artıran FreedomIntelligence/medical-o1-reasoning-SFT verilerine dayanmaktadır. Veriler hakkında daha fazla bilgi edinmek isterseniz, buna dair daha fazla bilgi edinmek için şu bağlantıyı kullanabilirsiniz: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Not: Lütfen bu örneği çalıştırmak için 64gb bellekli Apple silicon cihazlarını kullanın.*\n" + "*Not：Lütfen bu örneği çalıştırmak için 64gb belleğe sahip Apple silikon cihazları kullanınız*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Veri**\n", "\n", - "Veriyi eğitim ve doğrulama olarak ayırmamız ve veri klasörüne yerleştirmemiz gerekiyor. Apple mlx'in varsayılan olarak eğitim verilerini adlandırdığını unutmayın. Eğitim verisi train.jsonl olarak, doğrulama verisi ise valid.json olarak adlandırılır.\n" + "Verileri train ve valid olarak ayırmamız ve data klasörüne koymamız gerekiyor. Apple mlx'in eğitim verisini varsayılan olarak adlandırdığını unutmayın. train adı train.jsonl, valid ise valid.json olarak adlandırılır.\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Eğitim**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Test**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Feragatname**: \nBu belge, AI çeviri hizmeti [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba göstersek de, otomatik çevirilerin hata veya yanlışlık içerebileceğini lütfen unutmayın. Belgenin orijinal dilindeki hali, yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımından kaynaklanan yanlış anlamalar veya yanlış yorumlamalar için sorumluluk kabul edilmez.\n" + "---\n\n\n**Feragatname**:\nBu belge, AI çeviri hizmeti [Co-op Translator](https://github.com/Azure/co-op-translator) kullanılarak çevrilmiştir. Doğruluk için çaba sarf etsek de, otomatik çevirilerin hata veya yanlışlık içerebileceğini lütfen unutmayınız. Orijinal belge, kendi dilinde yetkili kaynak olarak kabul edilmelidir. Kritik bilgiler için profesyonel insan çevirisi önerilir. Bu çevirinin kullanımı sonucu ortaya çıkabilecek yanlış anlamalardan veya yanlış yorumlamalardan sorumlu değiliz.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T18:38:04+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "tr" } }, "nbformat": 4, diff --git a/translations/uk/.co-op-translator.json b/translations/uk/.co-op-translator.json index 11390ac32..c55a4fe31 100644 --- a/translations/uk/.co-op-translator.json +++ b/translations/uk/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "uk" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:12:49+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "uk" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:59:59+00:00", diff --git a/translations/uk/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/uk/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 57fd841fb..156e8f9a4 100644 --- a/translations/uk/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/uk/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **Приклад: тонке налаштування Phi-4-mini-reasoning за допомогою Apple MLX Framework**\n", + "## **Приклад: тонке налаштування Phi-4-mini-reasoning з Apple MLX Framework**\n", "\n", - "Це базується на даних з FreedomIntelligence/medical-o1-reasoning-SFT, які покращують здатність Phi-4-mini-reasoning аналізувати медичні події. Якщо ви хочете дізнатися більше про ці дані, ви можете скористатися цим посиланням, щоб отримати додаткову інформацію: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Це базується на даних з FreedomIntelligence/medical-o1-reasoning-SFT, що покращує здатність Phi-4-mini-reasoning до логічного мислення щодо медичних подій. Якщо ви хочете дізнатися більше про ці дані, ви можете скористатися цим посиланням для отримання додаткової інформації: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Примітка: Будь ласка, використовуйте пристрої Apple silicon з пам'яттю 64 ГБ для запуску цього прикладу*\n" + "*Примітка: Будь ласка, використовуйте пристрої Apple silicon з 64 ГБ пам’яті для запуску цього прикладу*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Дані**\n", "\n", - "Нам потрібно розділити дані на train і valid та помістити їх у папку data. Зверніть увагу, що apple mlx за замовчуванням називає навчальні дані. train називається train.jsonl, а valid називається valid.json.\n" + "Нам потрібно розділити дані на train та valid і помістити їх у папку data. Зверніть увагу, що apple mlx за замовчуванням називає навчальні дані. train називається train.jsonl, а valid називається valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Навчання**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Тестування**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Відмова від відповідальності**: \nЦей документ був перекладений за допомогою сервісу автоматичного перекладу [Co-op Translator](https://github.com/Azure/co-op-translator). Хоча ми прагнемо до точності, будь ласка, майте на увазі, що автоматичні переклади можуть містити помилки або неточності. Оригінальний документ на його рідній мові слід вважати авторитетним джерелом. Для критичної інформації рекомендується професійний людський переклад. Ми не несемо відповідальності за будь-які непорозуміння або неправильні тлумачення, що виникають внаслідок використання цього перекладу.\n" + "---\n\n\n**Відмова від відповідальності**:\nЦей документ було перекладено за допомогою сервісу штучного інтелекту для перекладу [Co-op Translator](https://github.com/Azure/co-op-translator). Хоча ми прагнемо до точності, будь ласка, майте на увазі, що автоматичні переклади можуть містити помилки або неточності. Оригінальний документ рідною мовою слід вважати авторитетним джерелом. Для критично важливої інформації рекомендується професійний людський переклад. Ми не несемо відповідальності за будь-які непорозуміння або неправильні тлумачення, що виникли внаслідок використання цього перекладу.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-13T05:46:38+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "uk" } }, "nbformat": 4, diff --git a/translations/ur/.co-op-translator.json b/translations/ur/.co-op-translator.json index 8461da30e..f5c0df9c3 100644 --- a/translations/ur/.co-op-translator.json +++ b/translations/ur/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "ur" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:32:13+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "ur" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:52:51+00:00", diff --git a/translations/ur/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/ur/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 3b8b2ebc5..9b27d165c 100644 --- a/translations/ur/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/ur/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **نمونہ: Phi-4-mini-reasoning کو Apple MLX فریم ورک کے ساتھ بہتر بنانا**\n", + "## **نمونہ: Phi-4-mini-reasoning کو Apple MLX فریم ورک کے ساتھ fine-tuning کرنا**\n", "\n", - "یہ FreedomIntelligence/medical-o1-reasoning-SFT کے ڈیٹا پر مبنی ہے، جو Phi-4-mini-reasoning کی طبی واقعات کے بارے میں استدلال کرنے کی صلاحیت کو بہتر بناتا ہے۔ اگر آپ ڈیٹا کے بارے میں مزید جاننا چاہتے ہیں، تو آپ اس لنک کا استعمال کر کے مزید معلومات حاصل کر سکتے ہیں: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "یہ FreedomIntelligence/medical-o1-reasoning-SFT کے ڈیٹا پر مبنی ہے، جو Phi-4-mini-reasoning کی طبی واقعات کے بارے میں استدلال کرنے کی صلاحیت کو بہتر بناتا ہے۔ اگر آپ ڈیٹا کے بارے میں مزید جاننا چاہتے ہیں تو آپ اس لنک کا استعمال کر سکتے ہیں: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*نوٹ: براہ کرم 64gb میموری والے Apple silicon ڈیوائسز استعمال کریں تاکہ اس نمونے کو چلایا جا سکے*\n" + "*نوٹ: براہ کرم اس نمونے کو چلانے کے لیے 64gb میموری والے Apple silicon آلات استعمال کریں*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **ڈیٹا**\n", "\n", - "ہمیں ڈیٹا کو ٹرین اور ویلیڈ میں تقسیم کرنا ہوگا اور اسے ڈیٹا فولڈر میں رکھنا ہوگا۔ نوٹ کریں کہ ایپل mlx ڈیفالٹ کے طور پر ٹریننگ ڈیٹا کو نام دیتا ہے۔ ٹرین کا نام train.jsonl رکھا جاتا ہے اور ویلیڈ کا نام valid.json رکھا جاتا ہے۔\n" + "ہمیں ڈیٹا کو ٹرین اور ویلڈ میں تقسیم کرنا ہوگا اور انہیں ڈیٹا فولڈر میں رکھنا ہوگا۔ نوٹ کریں کہ ایپل mlx ڈیفالٹ کے طور پر ٹریننگ ڈیٹا کا نام رکھتا ہے۔ ٹرین کو train.jsonl اور ویلڈ کو valid.json کہا جاتا ہے۔\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **تربیت**\n" + ] }, { "cell_type": "code", @@ -341,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**ڈسکلیمر**: \nیہ دستاویز AI ترجمہ سروس [Co-op Translator](https://github.com/Azure/co-op-translator) کا استعمال کرتے ہوئے ترجمہ کی گئی ہے۔ ہم درستگی کے لیے کوشش کرتے ہیں، لیکن براہ کرم آگاہ رہیں کہ خودکار ترجمے میں غلطیاں یا غیر درستیاں ہو سکتی ہیں۔ اصل دستاویز کو اس کی اصل زبان میں مستند ذریعہ سمجھا جانا چاہیے۔ اہم معلومات کے لیے، پیشہ ور انسانی ترجمہ کی سفارش کی جاتی ہے۔ ہم اس ترجمے کے استعمال سے پیدا ہونے والی کسی بھی غلط فہمی یا غلط تشریح کے ذمہ دار نہیں ہیں۔\n" + "---\n\n\n**ڈس کلیمر**:\nیہ دستاویز AI ترجمہ سروس [Co-op Translator](https://github.com/Azure/co-op-translator) کے ذریعے ترجمہ کی گئی ہے۔ جبکہ ہم درستگی کے لیے کوشاں ہیں، براہ کرم اس بات سے آگاہ رہیں کہ خودکار ترجمے میں غلطیاں یا عدم درستیاں ہو سکتی ہیں۔ اصل دستاویز اپنے مادری زبان میں مستند ماخذ سمجھی جائے گی۔ حساس معلومات کے لیے پیشہ ور انسانی ترجمہ کی سفارش کی جاتی ہے۔ اس ترجمے کے استعمال سے پیدا ہونے والی کسی بھی غلط فہمی یا غلط تشریح کی ذمہ داری ہم قبول نہیں کرتے۔\n\n" ] } ], @@ -2685,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T18:36:57+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "ur" } }, "nbformat": 4, diff --git a/translations/vi/.co-op-translator.json b/translations/vi/.co-op-translator.json index 0d957657e..46cfa0a2f 100644 --- a/translations/vi/.co-op-translator.json +++ b/translations/vi/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "vi" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:18:28+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "vi" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:57:26+00:00", diff --git a/translations/vi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/vi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index ff773fa20..93f190d3c 100644 --- a/translations/vi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/vi/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -6,9 +6,9 @@ "source": [ "## **Mẫu: tinh chỉnh Phi-4-mini-reasoning với Apple MLX Framework**\n", "\n", - "Dựa trên dữ liệu từ FreedomIntelligence/medical-o1-reasoning-SFT, giúp tăng cường khả năng của Phi-4-mini-reasoning trong việc suy luận về các sự kiện y tế. Nếu bạn muốn tìm hiểu thêm về dữ liệu, bạn có thể sử dụng liên kết này để tìm hiểu thêm: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "Điều này dựa trên dữ liệu từ FreedomIntelligence/medical-o1-reasoning-SFT, giúp tăng khả năng lập luận về các sự kiện y tế của Phi-4-mini-reasoning. Nếu bạn muốn tìm hiểu thêm về dữ liệu, bạn có thể sử dụng liên kết này để tìm hiểu thêm: https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*Lưu ý: Vui lòng sử dụng thiết bị Apple silicon với bộ nhớ 64gb để chạy mẫu này*\n" + "*Lưu ý: Vui lòng sử dụng thiết bị Apple silicon có bộ nhớ 64gb để chạy mẫu này*\n" ] }, { @@ -79,7 +79,7 @@ "source": [ "### **Dữ liệu**\n", "\n", - "Chúng ta cần chia dữ liệu thành train và valid và đặt chúng vào thư mục data. Lưu ý rằng apple mlx mặc định đặt tên cho dữ liệu huấn luyện. train được đặt tên là train.jsonl và valid được đặt tên là valid.json.\n" + "Chúng ta cần chia dữ liệu thành train và valid và đặt chúng vào thư mục data. Lưu ý rằng apple mlx đặt tên dữ liệu huấn luyện theo mặc định. train được đặt tên là train.jsonl và valid được đặt tên là valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Đào tạo**\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### **Kiểm tra**\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**Tuyên bố miễn trừ trách nhiệm**: \nTài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng các bản dịch tự động có thể chứa lỗi hoặc không chính xác. Tài liệu gốc bằng ngôn ngữ bản địa nên được coi là nguồn thông tin chính thức. Đối với các thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp từ con người. Chúng tôi không chịu trách nhiệm về bất kỳ sự hiểu lầm hoặc diễn giải sai nào phát sinh từ việc sử dụng bản dịch này.\n" + "---\n\n\n**Tuyên bố miễn trừ trách nhiệm**:\nTài liệu này đã được dịch bằng dịch vụ dịch thuật AI [Co-op Translator](https://github.com/Azure/co-op-translator). Mặc dù chúng tôi cố gắng đảm bảo độ chính xác, xin lưu ý rằng bản dịch tự động có thể chứa lỗi hoặc sai sót. Tài liệu gốc bằng ngôn ngữ gốc nên được coi là nguồn tin chính thức. Đối với thông tin quan trọng, nên sử dụng dịch vụ dịch thuật chuyên nghiệp bởi con người. Chúng tôi không chịu trách nhiệm về bất kỳ hiểu lầm hoặc giải thích sai nào phát sinh từ việc sử dụng bản dịch này.\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T21:58:07+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "vi" } }, "nbformat": 4, diff --git a/translations/zh-CN/.co-op-translator.json b/translations/zh-CN/.co-op-translator.json index c1a7695f3..de862407a 100644 --- a/translations/zh-CN/.co-op-translator.json +++ b/translations/zh-CN/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "zh-CN" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:32:22+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "zh-CN" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:53:03+00:00", diff --git a/translations/zh-CN/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/zh-CN/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 7010a6d65..ab2ad6d6d 100644 --- a/translations/zh-CN/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/zh-CN/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -6,9 +6,9 @@ "source": [ "## **示例：使用 Apple MLX 框架微调 Phi-4-mini-reasoning**\n", "\n", - "这是基于 FreedomIntelligence/medical-o1-reasoning-SFT 数据集，该数据集增强了 Phi-4-mini-reasoning 对医疗事件的推理能力。如果您想了解更多关于该数据的信息，可以通过以下链接获取更多内容：https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "这是基于 FreedomIntelligence/medical-o1-reasoning-SFT 的数据，该数据增强了 Phi-4-mini-reasoning 推理医疗事件的能力。如果您想了解更多关于该数据的信息，可以通过此链接了解更多：https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*注意：请使用配备 64GB 内存的 Apple Silicon 设备运行此示例*\n" + "*注意：请使用具有 64GB 内存的 Apple 硅设备运行此示例*\n" ] }, { @@ -77,9 +77,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **数据**\n", + "### 数据\n", "\n", - "我们需要将数据分为训练集和验证集，并将它们放置在数据文件夹中。请注意，apple mlx 默认命名训练数据。训练集命名为 train.jsonl，验证集命名为 valid.json。\n" + "我们需要将数据划分为训练集和验证集，并将它们放置在 data 文件夹中。请注意，apple mlx 默认会为训练数据命名。train 命名为 train.jsonl，valid 命名为 valid.json。\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### 训练\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### 测试\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**免责声明**： \n本文档使用AI翻译服务 [Co-op Translator](https://github.com/Azure/co-op-translator) 进行翻译。尽管我们努力确保翻译的准确性，但请注意，自动翻译可能包含错误或不准确之处。原始语言的文档应被视为权威来源。对于关键信息，建议使用专业人工翻译。我们不对因使用此翻译而产生的任何误解或误读承担责任。\n" + "---\n\n\n**免责声明**：\n本文件由 AI 翻译服务 [Co-op Translator](https://github.com/Azure/co-op-translator) 翻译完成。尽管我们力求准确，但请注意，自动翻译可能包含错误或不准确之处。原始语言版文件应视为权威来源。对于重要信息，建议使用专业人工翻译。我们对因使用本翻译而产生的任何误解或误释不承担责任。\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T15:10:21+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "zh" } }, "nbformat": 4, diff --git a/translations/zh-HK/.co-op-translator.json b/translations/zh-HK/.co-op-translator.json index e35481a0b..f9d0129cb 100644 --- a/translations/zh-HK/.co-op-translator.json +++ b/translations/zh-HK/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "zh-HK" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:23:46+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "zh-HK" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:53:21+00:00", diff --git a/translations/zh-HK/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/zh-HK/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index 888a337ce..cde753e43 100644 --- a/translations/zh-HK/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/zh-HK/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -6,9 +6,9 @@ "source": [ "## **範例：使用 Apple MLX 框架微調 Phi-4-mini-reasoning**\n", "\n", - "這是基於 FreedomIntelligence/medical-o1-reasoning-SFT 的數據，該數據增強了 Phi-4-mini-reasoning 在醫療事件推理方面的能力。如果你想了解更多有關此數據的資訊，可以使用以下連結進一步了解：https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "此範例基於 FreedomIntelligence/medical-o1-reasoning-SFT 的數據，該數據提升了 Phi-4-mini-reasoning 對醫療事件的推理能力。若想了解更多關於該數據，您可以使用此連結深入了解：https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*注意：請使用具備 64GB 記憶體的 Apple Silicon 裝置來執行此範例*\n" + "*注意：請使用 64gb 記憶體的 Apple silicon 裝置來運行此範例*\n" ] }, { @@ -77,9 +77,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **數據**\n", + "### 數據\n", "\n", - "我們需要將數據分成訓練集和驗證集，並放置在數據文件夾中。請注意，apple mlx 預設命名訓練數據。訓練集命名為 train.jsonl，驗證集命名為 valid.json。\n" + "我們需要將數據劃分為訓練集和驗證集，並將它們放置在 data 資料夾中。請注意，apple mlx 預設會將訓練數據命名為 train，train 檔案名為 train.jsonl，而驗證集則命名為 valid，檔案名為 valid.json。\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### 訓練\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### 測試\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**免責聲明**： \n本文件已使用人工智能翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們致力於提供準確的翻譯，但請注意，自動翻譯可能包含錯誤或不準確之處。原始語言的文件應被視為權威來源。對於重要信息，建議使用專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或錯誤解釋概不負責。\n" + "---\n\n\n**免責聲明**：\n本文件由 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 翻譯而成。雖然我們致力於確保準確性，但請注意，機器自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於重要資訊，建議進行專業人工翻譯。我們不對因使用本翻譯而產生的任何誤解或誤釋承擔責任。\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T15:10:37+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "hk" } }, "nbformat": 4, diff --git a/translations/zh-MO/.co-op-translator.json b/translations/zh-MO/.co-op-translator.json index c9995a359..11d4bcc8b 100644 --- a/translations/zh-MO/.co-op-translator.json +++ b/translations/zh-MO/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "zh-MO" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:23:37+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "zh-MO" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:53:11+00:00", diff --git a/translations/zh-MO/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/zh-MO/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index ea010c867..8fb7a8a3a 100644 --- a/translations/zh-MO/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/zh-MO/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -4,11 +4,11 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## **範例：使用 Apple MLX 框架微調 Phi-4-mini-reasoning**\n", + "## **範例：使用 Apple MLX Framework 對 Phi-4-mini-reasoning 進行微調**\n", "\n", - "這是基於 FreedomIntelligence/medical-o1-reasoning-SFT 的數據，該數據增強了 Phi-4-mini-reasoning 在醫療事件推理方面的能力。如果您想了解更多關於這些數據的信息，可以使用以下連結進一步了解：https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "這是基於 FreedomIntelligence/medical-o1-reasoning-SFT 的數據，該數據增強了 Phi-4-mini-reasoning 推理醫療事件的能力。如果您想進一步了解該數據，可以使用此連結了解更多：https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", "\n", - "*注意：請使用具備 64GB 記憶體的 Apple Silicon 設備來執行此範例*\n" + "*注意：請使用配備64GB記憶體的 Apple silicon 裝置來執行此範例*\n" ] }, { @@ -77,9 +77,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **資料**\n", + "### 資料\n", "\n", - "我們需要將資料分成訓練集和驗證集，並放置在資料夾中。請注意，apple mlx 預設命名訓練資料。訓練集命名為 train.jsonl，驗證集命名為 valid.json。\n" + "我們需要將資料劃分為訓練和驗證，並放置在 data 資料夾中。請注意 apple mlx 預設會將訓練資料命名。train 命名為 train.jsonl，valid 命名為 valid.json。\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### 訓練\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### 測試\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**免責聲明**： \n本文件已使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們努力確保翻譯的準確性，但請注意，自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於關鍵信息，建議尋求專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或錯誤解釋不承擔責任。\n" + "---\n\n\n**免責聲明**：\n本文件使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。雖然我們力求準確，但請注意，自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於重要資訊，建議尋求專業人工翻譯。我們不對因使用本翻譯而引起的任何誤解或曲解承擔責任。\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T18:37:05+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "mo" } }, "nbformat": 4, diff --git a/translations/zh-TW/.co-op-translator.json b/translations/zh-TW/.co-op-translator.json index d838c2d36..da051d40b 100644 --- a/translations/zh-TW/.co-op-translator.json +++ b/translations/zh-TW/.co-op-translator.json @@ -467,6 +467,12 @@ "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/README.md", "language_code": "zh-TW" }, + "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb": { + "original_hash": "8ff7dccbaf3e946ee8fe7f2b0f1650fc", + "translation_date": "2026-05-13T10:23:57+00:00", + "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", + "language_code": "zh-TW" + }, "md/02.Application/04.Vision/Phi3/E2E_Nvidia_NIM_Vision.md": { "original_hash": "a8de701a2f1eb12b1f82432288d709cf", "translation_date": "2025-07-17T04:53:33+00:00", diff --git a/translations/zh-TW/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb b/translations/zh-TW/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb index be0ccfa68..4c6115d01 100644 --- a/translations/zh-TW/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb +++ b/translations/zh-TW/md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb @@ -6,9 +6,9 @@ "source": [ "## **範例：使用 Apple MLX 框架微調 Phi-4-mini-reasoning**\n", "\n", - "這基於 FreedomIntelligence/medical-o1-reasoning-SFT 的數據，該數據增強了 Phi-4-mini-reasoning 在醫療事件推理方面的能力。如果您想了解更多有關該數據的信息，可以使用以下連結進一步了解：https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT \n", + "這是基於 FreedomIntelligence/medical-o1-reasoning-SFT 的數據，旨在增強 Phi-4-mini-reasoning 在醫療事件推理能力。如果您想了解更多該數據，可使用此連結進一步瞭解：https://huggingface.co/datasets/FreedomIntelligence/medical-o1-reasoning-SFT\n", "\n", - "*注意：請使用具備 64GB 記憶體的 Apple Silicon 設備來執行此範例*\n" + "*注意：請使用具備 64GB 記憶體的 Apple 矽晶片裝置來執行此範例*\n" ] }, { @@ -77,9 +77,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### **資料**\n", + "### 資料\n", "\n", - "我們需要將資料分成訓練集和驗證集，並放置在資料夾中。請注意，apple mlx 預設命名訓練資料。訓練集命名為 train.jsonl，驗證集命名為 valid.json。\n" + "我們需要將資料劃分為 train 和 valid，並放置在 data 資料夾中。請注意，apple mlx 預設會將訓練資料命名，train 命名為 train.jsonl，valid 命名為 valid.json\n" ] }, { @@ -99,6 +99,7 @@ } ], "source": [ + "from pathlib import Path\n", "from datasets import load_dataset" ] }, @@ -201,6 +202,7 @@ } ], "source": [ + "Path(\"./data\").mkdir(exist_ok=True)\n", "train_dataset = train_dataset.map(formatting_prompts_func, batched = True,remove_columns=[\"Question\", \"Complex_CoT\", \"Response\"])\n", "train_dataset.to_json(\"./data/train.jsonl\")" ] @@ -238,7 +240,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### 訓練\n" + ] }, { "cell_type": "code", @@ -279,7 +283,9 @@ { "cell_type": "markdown", "metadata": {}, - "source": [] + "source": [ + "### 測試\n" + ] }, { "cell_type": "code", @@ -339,7 +345,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "\n---\n\n**免責聲明**： \n本文件已使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。儘管我們致力於提供準確的翻譯，請注意自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應被視為權威來源。對於關鍵資訊，建議使用專業人工翻譯。我們對因使用此翻譯而引起的任何誤解或誤釋不承擔責任。\n" + "---\n\n\n**免責聲明**：\n此文件已使用 AI 翻譯服務 [Co-op Translator](https://github.com/Azure/co-op-translator) 進行翻譯。雖然我們努力追求準確性，但請注意自動翻譯可能包含錯誤或不準確之處。原始文件的母語版本應視為權威來源。對於關鍵資訊，建議採用專業人工翻譯。我們不對因使用此翻譯所產生的任何誤解或誤譯承擔責任。\n\n" ] } ], @@ -2683,12 +2689,6 @@ } } } - }, - "coopTranslator": { - "original_hash": "47c8a02b77bdba223221fa83bce7abf5", - "translation_date": "2025-09-12T15:10:29+00:00", - "source_file": "md/02.Application/03.AdvancedReasoning/Phi4/AdvancedResoningPhi4mini/mlx_ft_phi_4_reasoning_with_medicaldata.ipynb", - "language_code": "tw" } }, "nbformat": 4,