Reinforcement Learning with Human Feedback and GRPO

Understand why LLMs’ capabilities in reasoning, math, and coding emerged later than their language abilities

Learn what Reinforcement Learning with Human Feedback (RLHF) is and why it’s essential for fine-tuning models

Dive into Group Relative Policy Optimization (GRPO), a popular method for optimizing models on logical tasks

Explore practical applications of RLHF and GRPO to make LLMs more reliable in reasoning-intensive scenarios