Nathan Lambert releases textbook on Reinforcement Learning from Human Feedback

Nathan Lambert has released a new textbook titled "Reinforcement Learning from Human Feedback: Aligning and Post-training LLMs," published by Manning. The book aims to provide foundational knowledge and intuitive explanations of post-training techniques for large language models, covering topics like rejection sampling and outcome reward models. It is available both online and in print, with a discount code for readers and accompanying resources such as a YouTube course and code examples. AI

IMPACT Provides foundational knowledge for researchers and practitioners in LLM post-training and alignment.

RANK_REASON The item describes the release of a textbook on a specific AI research topic. [lever_c_demoted from research: ic=1 ai=1.0]

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