[Colloquium] AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

[Kristin S Czaplewski via Colloquium]

UNIVERSITY OF CHICAGO
COMPUTER SCIENCE DEPARTMENT
PRESENTS


Qingyun Wu
Penn State University

Tuesday, October 29, 2024 at 12:00pm
Location: JCL 390

Title: AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Abstract: AutoGen is an open-source programming framework for agentic AI. It enables development of LLM applications using multiple agents that can converse with each other to solve tasks. In this talk, the speaker will provide an introduction of AutoGen, sharing the latest updates and ongoing research efforts spanning across key directions such as evaluation, interfaces, learning/optimization/teaching, and seamless integration with existing AI technologies. The speaker will also delve into open questions and future plans surrounding AutoGen.

Bio: Dr. Qingyun Wu is an Assistant Professor at the College of Information Science and Technology at Penn State University. Qingyun did a one-year postdoc at Microsoft Research NYC Lab and got her Ph.D. in Computer Science from the University of Virginia in 2020. Qingyun received the 2019 SIGIR Best Paper Award, and ICLR 2024 LLM agent workshop Best Paper Award. Qingyun is the creator and one of the core maintainers of AutoGen, a leading programming framework for agentic AI applications.

Host: Ce Zheng

Please contact Tapan Srivastava (tapansriv at uchicago.edu<mailto:tapansriv at uchicago.edu>) if you would like to meet with Qingyun on October 29th.


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