#HAC2024
Автор: The Human Advantage (The BVA Family) - EN version
Загружено: 2024-09-27
Просмотров: 233
🌟 Session Replay: Better AI Safety
Watch or revisit the #HAC2024 session on "Assessing the Factuality of Large Language Models" with Emmanuel Candès from Stanford, moderated by Emilie Boutes and Ted Utoft.
A few words on Emmanuel:
Emmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics at Stanford University, with expertise in computational harmonic analysis, statistics, and information theory. Formerly a professor at Caltech, he received his Ph.D. from Stanford in 1998. Candès has received several prestigious awards, including the NSF Alan T. Waterman Award, and is a member of the National Academy of Sciences and the American Academy of Arts and Sciences. He has delivered over 60 plenary lectures at international conferences across various fields.
Join us to explore the challenges and advancements in AI safety!
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