Nathan Lambert is an AI expert who specialises in open language models. He is best known for founding Interconnects AI and for publishing 'Reinforcement Learning from Human Feedback: Reinforcement Learning from Human Feedback, Alignment, and Post-training Llms'. Nathan regularly provides advice and educational content on his YouTube Channel and delves deeper into key topics such as language models in his talks. An ideal speaker for AI conferences, technology summits, and panel discussions, he offers detailed insights into the latest developments in AI, educating audiences on emerging trends, innovations and their wider implications.
After completing his BSc in Electrical and Computer Engineering at Cornell University, Nathan undertook a PhD in Philosophy at the University of California. His early career involved securing a prestigious internship at Tesla Motors, where he supported battery engineering during the launch of Model X. Shortly after, Nathan joined Facebook AI as a research intern and student researcher and DeepMind as a research scientist intern.
In 2022, Nathan joined Hugging Face as a research scientist and RLHF Team Lead, where he played a key role in machine learning research from human feedback. Following this, he became the Senior Research Scientist at the Allen Institute for AI, where he fine-tuned LLMs. Nathan's latest venture has been founding Interconnects AI, a cutting-edge AI research and news newsletter. It now boasts over fifty thousand subscribers and is continuing to grow its presence in the industry.
Nathan Lambert is a pioneer in the AI field who continues to push the boundaries of open language models research. His talks are clear, informative and packed with valuable information that can be tailored to a wide range of event objectives. Audiences leave with an improved understanding of AI developments and are able to make more informed decisions on how AI is implemented into their business or organisation. To secure Nathan for your next event, contact Champions Speakers today!
Social Media
Books
Reinforcement Learning from Human Feedback: Reinforcement Learning from Human Feedback, Alignment, and Post-training LLMS
- 2026 - Published 'Reinforcement Learning from Human Feedback: Reinforcement Learning from Human Feedback, Alignment, and Post-training LLMs'
- 2026 - Founded a stealth AI laboratory focused on building open-source language models
- 2024 - Spearheaded the alignment and instruction-tuning interface as the post-training lead for the launch of AI2's OLMo (Open Language Models) initiative
- 2023 - Appointed Senior Research Scientist at the Allen Institute for AI (AI2) to research RLHF and LLM fine-tuning
- 2022 - Founded Interconnects AI, growing the technical frontier AI newsletter to over 50,000 subscribers
- 2022 - Built and led the dedicated Reinforcement Learning from Human Feedback (RLHF) research team at Hugging Face
- 2022 - Earned a Ph.D. in Electrical Engineering and Computer Sciences from UC Berkeley
- 2021 - Research Scientist Intern at Google DeepMind
- 2020 - Lectured as a Co-Instructor of Record to 800+ students for the CS 188: Artificial Intelligence course at UC Berkeley
- 2019 - Joined Facebook AI Research (FAIR) as a student researcher, focusing on robotics and machine learning control algorithms
- 2016 - Investigated Micro-Electro-Mechanical systems (MEMS) for chip-scale gas sensing platforms as an undergraduate researcher at Cornell University's SonicMEMS Laboratory
- 2015 - Supported Tesla Motors' Battery Engineering team during the critical launch window of the Model X
How to hire Nathan Lambert
Contact the Champions Speakers Agency to provisionally enquire about hiring Nathan Lambert for your next event, today. To get in touch, simply call an official booking agent on 0207 1010 553 or email us at [email protected] for more information.
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