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May 29, 2025
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Update launch_grpo_command_job-med-mcqa-commented.ipynb #3599

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2 changes: 1 addition & 1 deletion sdk/python/jobs/grpo/launch_grpo_command_job-med-mcqa-commented.ipynb
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"id": "c8348fe9",
"metadata": {},
"source": [
"# <span style=\"font-size:0.8em;\">📝 Agenda</span>\n",
"# <span style=\"font-size:0.8em;\">📝 Plan of Action</span>\n",
"\n",
"This notebook guides you through the end-to-end process of fine-tuning the **Qwen2.5-7B-Instruct** model into a **reasoning model** using medical data on **Azure ML**. Qwen2.5-7B-Instruct is an instruction-tuned large language model developed by Alibaba Cloud, based on their Qwen2.5-7B foundation model. It is optimized for following human instructions across a wide range of tasks, such as question answering, code generation, and language understanding. In this walkthrough, one will learn how to enhance the model's reasoning capabilities using **Reinforced Fine-Tuning (RFT)** techniques, with a focus on **GRPO (**G**roup **R**elative **P**olicy **O**ptimization)**.\n",
"\n",
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