Nathan Lambert
Researcher at the Allen Institute for AI (AI2) and author of the Interconnects blog. His work focuses on open-source large language models, reinforcement learning, and AI policy research.
Timeline (last 90 days)
Nathan Lambert of Interconnects pointed out that obtaining high-quality, diverse fine-tuning prompts is something open-source projects find hard to replicate.
Nathan Lambert will deliver a talk titled "How Open Models Win" at the Forge conference in San Francisco.
Nathan Lambert is the author of Interconnects and co-founder of Trillium Labs.
Interconnects is a technical newsletter operated by Nathan Lambert, primarily focusing on topics such as reinforcement learning from human feedback (RLHF), model alignment, and the open AI ecosystem.
Nathan Lambert previously worked on the alignment team at Hugging Face.
Lambert estimates that Chinese open-weight models lag behind the closed-source frontier by approximately 2 to 5 months, while U.S. open weights lag by 6 to 9 months.
Nathan Lambert submitted written testimony to the U.S. Congress on the global power dynamics of open-source models.
Nathan Lambert is an AI2 researcher and author of the Interconnects blog.
All Facts (7)
Nathan Lambert of Interconnects pointed out that obtaining high-quality, diverse fine-tuning prompts is something open-source projects find hard to replicate.
50%UnverifiedNathan Lambert previously worked on the alignment team at Hugging Face.
50%UnverifiedNathan Lambert is the author of Interconnects and co-founder of Trillium Labs.
50%UnverifiedInterconnects is a technical newsletter operated by Nathan Lambert, primarily focusing on topics such as reinforcement learning from human feedback (RLHF), model alignment, and the open AI ecosystem.
50%UnverifiedNathan Lambert is an AI2 researcher and author of the Interconnects blog.
50%UnverifiedNathan Lambert will deliver a talk titled "How Open Models Win" at the Forge conference in San Francisco.
50%UnverifiedNathan Lambert submitted written testimony to the U.S. Congress on the global power dynamics of open-source models.
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