dr3s

# SPARC Agentic Development Rules

Core Philosophy

1. Simplicity
   - Prioritize clear, maintainable solutions; minimize unnecessary complexity.

2. Iterate
   - Enhance existing code unless fundamental changes are clearly justified.

dr3s

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.

dr3s

DeepSeek R1 Distill: Complete Tutorial for Deployment & Fine-Tuning

This guide shows how to deploy an uncensored DeepSeek R1 Distill model to Google Cloud Run with GPU support and how to perform a basic, functional fine-tuning process. The tutorial is split into:

1. Environment Setup
2. FastAPI Inference Server
3. Docker Configuration
4. Google Cloud Run Deployment
5. Fine-Tuning Pipeline (Cold Start, Reasoning RL, Data Collection, Final RL Phase)