Nathan Lambert Completes RLHF Book After Two Years with Courses and Code
AI researcher Nathan Lambert announced the completion of his book, *Reinforcement Learning from Human Feedback*. According to Lambert, the project took nearly two years, with most of the writing done intermittently over evenings and weekends for more than a year. His goal was to create the ultimate introductory resource he wished he had when learning about model fine-tuning, alignment, and post-training techniques following the release of ChatGPT.
Key Details and Companion Resources
Positioned as a practical guide grounded in hands-on experience (such as the OLMO project), the book aims to offer a complete learning experience. To complement the text, Lambert has released a wealth of supplementary materials, including over 10 hours of course videos and the relevant training code. The book is now available on the official website, Amazon, and Manning.
2026-07-21 ~ 2026-07-21 · 8 related posts
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