about the author

Dr. Nathan Lambert is a researcher who has been working in machine learning for more than 8 years and is most prominently known for contributing to the open science of language modeling. He has released many models trained with RLHF, their subsequent datasets, and training codebases in his time at the Allen Institute for AI (Ai2) and Hugging Face. Examples include Zephyr-Beta, Tulu 2, OLMo, TRL, Open Instruct, and many more. He has written extensively on RLHF, includ-ing many blog posts and academic papers.

While writing this book, Nathan was a senior research scientist at Ai2 and founded the prominent AI blog Interconnects (https://www.interconnects.ai/). Before this, he helped build an RLHF team as a researcher at Hugging Face and earned his Ph.D. in electrical engineering and computer sciences from the University of California, Berkeley. He has done substantial work in advocating for investment in open models and open language model research infrastructure in the United States through his American Truly Open Models (ATOM) Project (http://atomproject.ai/).

You can learn more about Nathan at https://natolambert.com/.