Victor Dibia
Victor Dibia is a Principal Research Software Engineer at the Microsoft Research AI Frontiers organization where his focus is on Generative AI and applied machine learning. His research has been published at conferences such as EMNLP, AAAI, and CHI and has received multiple best paper awards. His work has also been featured in outlets such as the Wall Street Journal and VentureBeat. He is an IEEE Senior member, a Google Certified Professional ( Data Engineer, Cloud Architect ) and currently a Google Developer Expert in Machine Learning.
Sessions
Discover the potential of multi-agent generative AI applications with AutoGen, a pioneering framework designed to tackle complex tasks requiring multi-step planning, reasoning, and action. In this talk, we will explore the fundamentals of multi-agent systems, learn how to build applications using AutoGen, and discuss the open challenges associated with this approach, such as control trade-offs, evaluation challenges, and privacy/security considerations.
With AutoGen's open-source platform and growing ecosystem, developers can harness the power of generative AI to create advanced AI assistants and interfaces for the digital world. This talk is ideal for those with a general understanding of generative AI and Python application development.