Nathan Lambert

About The Author

Nathan Lambert is the post-training lead at the Allen Institute for AI, having previously worked for HuggingFace, Deepmind, and Facebook AI. Nathan has guest lectured at Stanford, Harvard, MIT and other premier institutions, and is a frequent and popular presenter at NeurIPS and other AI conferences. He has won numerous awards in the AI space, including the “Best Theme Paper Award” at ACL and “Geekwire Innovation of the Year”. He has 8,000 citations on Google Scholar for his work in AI and writes articles on AI research that are viewed millions of times annually at the popular Substack interconnects.ai. Nathan earned a PhD in Electrical Engineering and Computer Science from University of California, Berkeley.

Books by Nathan Lambert

Reinforcement Learning from Human Feedback

Alignment and post-training of LLMs

By Nathan Lambert
Get the eBook free when you register your print book at Manning.

"A masterful synthesis of the field’s intellectual roots and its practical tools.”
—Saurabh Sawant, Microsoft

Reinforcement Learning from Human Feedback: LLM alignment and post-training helps ...
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