What are future AI applications like and how do we empower every developer to build them? In this talk, Chi Wang, Principal Researcher at Microsoft Research, discusses AutoGen. AutoGen is a pioneering attempt to address this question as a generic programming framework for agentic AI. This talk will explain the core functionalities and key concepts of AutoGen and illustrate how it is applied across a broad spectrum of tasks and industries, paving the way for next-gen AI applications. It also shares recent research and development such as agent-based evaluation and optimization. This talk was originally delivered at Arize:Observe 2024 at Shack 15 in San Francisco on July 11, 2024.
Chi Wang
Microsoft
Chi Wang is a principal researcher in Microsoft Research. He has worked on large language model and AI frameworks, automated machine learning, machine learning for systems, scalable solutions for data science and data analytics, and knowledge mining from text data and graph data (with a SIGKDD Data Science/Data Mining PhD Dissertation Award). Chi is the creator of AutoGen, a popular and rapidly growing open-source framework for agentic AI, with multiple awards such as Open100, TheSequence’s pick of 5 favorite AI papers in 2023, and best paper of ICLR’24 LLM Agents Workshop. Chi is the creator of FLAML, a fast open-source library for AutoML & tuning used widely inside and outside Microsoft. Chi has a PhD in Computer Science from University of Illinois at Urbana-Champaign, and a BS in Computer Science from Tsinghua University.