How DeepSeek R1's Reinforcement Learning Works Through GRPO

Explore the technical details of DeepSeek R1's reinforcement learning implementation in this 35-minute technical video that breaks down the Group Relative Policy Optimization (GRPO) approach. Learn about the evolution from PPO to GRPO, memory optimization techniques, and the importance of group relative advantages in AI model training. Dive deep into key concepts including KL-divergence, reward signal implementation, and practical applications like training a Rust reasoner. Through detailed chapter breakdowns, understand how GRPO improves upon traditional reinforcement learning methods while addressing memory usage challenges in large-scale AI model development.