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Juan Beltran jbeltran73-2

  • memba
  • Spain
  • 13:41 (UTC +02:00)
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A tutorial on fine-tuning DeepSeek R1 for medical applications and integrating DSPy for reinforcement learning.

This tutorial will be structured for AI/ML engineers and medical professionals, covering:

  • Introduction: Overview of DeepSeek R1 and DSPy in medical AI.
  • Features & Benefits: Key advantages of this approach.
  • Warnings & Considerations: Potential risks and limitations.
  • Installation & Setup: Environment configuration and dependencies.
  • Dataset Preparation: Selecting and formatting medical datasets.
  • Fine-tuning DeepSeek R1: Using LoRA with Unsloth for efficient training.

A tutorial on fine-tuning DeepSeek R1 for medical applications and integrating DSPy for reinforcement learning.

This tutorial will be structured for AI/ML engineers and medical professionals, covering:

  • Introduction: Overview of DeepSeek R1 and DSPy in medical AI.
  • Features & Benefits: Key advantages of this approach.
  • Warnings & Considerations: Potential risks and limitations.
  • Installation & Setup: Environment configuration and dependencies.
  • Dataset Preparation: Selecting and formatting medical datasets.
  • Fine-tuning DeepSeek R1: Using LoRA with Unsloth for efficient training.