Nathan Lambert@natolambert · X作者宣布《Reinforcement Learning from Human Feedback》已完成写作，进入最终制作阶段，预计1-2个月内出版。该书聚焦LLM的核心强化学习方法、直觉与实现，同时涵盖后训练技术及RLHF领域的未解决问题。作者强调，这是记录RLHF领域组织的权威著作，尽管该方向常被AI其他进展掩盖，但其在人机交互中的核心地位使其值得深入探讨，而非追逐易过时的动态话题。
My book， Reinforcement Learning from Human Feedback， is wrapping up and going into final production （copyediting， making pretty， formatting， etc.）. Shipping to you in 1-2 months！
It's a wonderful project to create a foundation of knowledge for the research communities that I love and operate in. It's the book I wish I had when starting on my LLM journey about 3 years ago.
The book's deepest cut is on core reinforcement learning methods， intuitons， and implementations for LLMs. These don't live in isolation， and it's presented in the broader context of post-training methods and unsolved problems in RLHF. A nice balance of depth and breadth.
I'm always asked about the title， and I am staying firm that this is THE book documenting the organization of the field of RLHF. Any other topic is too dynamic， where writing a book today would be immediately outdated. RLHF is largely being overshadowed by lots of other developments in AI， but will always be around and at the forefront of human-AI interactions. The topic deserves coverage in depth and this platform.