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.
Building Scalable Systems for Automatically Understanding Large Language Models
Overview
Syllabus
Building scalable systems for automatically understanding LLMs
Taught by
Simons Institute
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