A Little Bit of Reinforcement Learning from Human Feedback

Reinforcement Learning from Human Feedback (RLHF) is emerging as a crucial method in deploying new machine learning systems, particularly language models. This book aims to provide a gentle introduction to RLHF for those with a background in quantitative sciences, exploring its historical roots and methodologies across various scientific fields. The content includes definitions, problem formulations, data collection methods, popular algorithms, and future directions of RLHF research.

Visit Original Article →