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Building Scalable Systems for Automatically Understanding Large Language Models

Simons Institute via YouTube

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Watch a thought-provoking lecture from UC Berkeley's Jacob Steinhardt exploring the development of scalable systems for analyzing and understanding Large Language Models (LLMs), examining the intersections between artificial intelligence, cognitive science, linguistics, and neuroscience to create more effective methods for comprehending how these complex systems operate and make decisions.

Syllabus

Building scalable systems for automatically understanding LLMs

Taught by

Simons Institute

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