Human-AI Interaction in the Age of Large Language Models

Published on ● Video Link: https://www.youtube.com/watch?v=Yv7drI7cBsQ



Duration: 59:10
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Diyi Yang (Stanford University)
https://simons.berkeley.edu/talks/diyi-yang-stanford-university-2023-08-17
Large Language Models and Transformers

Large language models have revolutionized the way how humans interact with AI systems, transforming a wide range of fields and disciplines. In this talk, I share two distinct approaches to empowering human-AI interaction using LLMs. The first one explores how large language models transform computational social science, and how human-AI collaboration can reduce costs and improve the efficiency of social science research. The second part introduces CARE, an interactive AI agent that supports therapists through LLM-empowered feedback and deliberative practices, as an initial step toward democratizing skill training with AI. These two works demonstrate how human-AI interaction via LLMs can empower individuals and foster positive change.







Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Large Language Models and Transformers
Diyi Yang