Rejection Sampling | RLHF Book by Nathan Lambert

The Reinforcement Learning from Human Feedback Book

--> RLHF Book --> Rejection Sampling | RLHF and Post-Training Book by Nathan Lambert Reinforcement Learning from Human Feedback A short introduction to RLHF and post-training focused on language models. Nathan Lambert Lecture 2: IFT, Reward Modeling, Rejection Sampling (Chap. 4, 5, & 9) Rejection Sampling Rejection Sampling (RS) is one of the most widely used yet least documented methods in preference fine-tuning. Many prominent RLHF papers use it as a core component of their training pipeline, yet no canonical implementation or explanation of why it works so well exists. RS can be applied at

related reading

• RLHF & Post-Training Course by Nathan Lambertrlhfbook.com
• Illustrating Reinforcement Learning from Human Feedback (RLHF)huggingface.co
• Introduction | RLHF and Post-Training Book by Nathan Lambertrlhfbook.com
• RLHF: Reinforcement Learning from Human Feedbackhuyenchip.com
• rlhfbook.com/book.pdfrlhfbook.com
• RLHF | John Lambertjohnwlambert.github.io
• RLHF Bookrlhfbook.com
• RLHF Bookrlhfbook.com
• RLHF Bookrlhfbook.com
• RLHF Bookrlhfbook.com
• [2305.18290] Direct Preference Optimization: Your Language Model is Secretly a Reward Modelarxiv.org
• A Gallery of Methods Beyond RL — Part I: Sampling Methodsshengyu-feng.github.io