Kirk Borne

"A Practical Guide to Reinforcement Learning from Human Feedback (RLHF)" from @PacktPublishing at http://amzn.to/3PMn1ZL 𝗔𝗺𝗮𝘇𝗼𝗻 𝘀𝘂𝗺𝗺𝗮𝗿𝘆: RLHF is a powerful approach to AI alignment and human-centered machine learning. By combining reinforcement learning algorithms with human feedback signals, RLHF has become a key method for improving the safety, reliability, and alignment of large language models (LLMs). This book begins with the foundations of reinforcement learning and policy optimization, including algorithms such as proximal policy optimization (PPO), and explains how reward models and human preference learning help fine-tune AI systems and generative AI models.