Nathan Lambert
Nathan Lambert is an AI researcher known for work on language model post-training and reinforcement learning from human feedback, who co-led post-training for the OLMo models at the Allen Institute for AI.
1 article
Last mentioned Nathan Lambert is an AI researcher who works on the post-training of large language models and on reinforcement learning from human feedback (RLHF). As a research scientist at the Allen Institute for AI, he co-led post-training for the open OLMo language models.
He is the author of a book on RLHF and regularly publishes analysis of language model training methods and the open model ecosystem.
This entry is based on AIPOST articles and widely known facts. If something is wrong, please send us a correction request.