Introduction to Generative AI Agents: AutoGen

Workshop Title: Introduction to Generative AI Agents: AutoGen

Presenters: Ravi Shankar Goli, XiaoYun Zhang and Eric Zhu, Microsoft

Introduction:

Generative AI agents are revolutionizing how we automate and manage complex workflows. In this presentation, we will delve into AutoGen, an advanced framework designed by Microsoft for creating multi-agent systems that autonomously collaborate, solve problems, and interact with users. AutoGen enables seamless integration between large language models (LLMs), tools, and human inputs, supporting dynamic, conversation-driven task execution. Whether it’s automating code generation, optimizing workflows, or performing real-time decision-making, AutoGen simplifies the development of intelligent agents, reducing the need for manual intervention and enabling rapid deployment across diverse applications.

Attendees will explore basic understanding of Agents, including its multi-agent conversation framework, customizable agent design, and real-world use cases in areas like code automation and collaborative problem-solving. Whether you’re an AI developer or a tech enthusiast, this session offers deep insights into how AutoGen is shaping the future of AI-driven systems.

Level of Knowledge: Basic to none

Presenters Bios:

Ravi Shankar Goli, Principal Software Engineer Manager, Microsoft

Ravi has over a decade and a half experience in designing, developing and implementing software applications. In his current position, he is leading a team in building next-generation AI and copilot products.
Ravi Shankar Goli | LinkedIn

 

XiaoYun Zhang, Senior Software Engineer, Microsoft

XiaoYun Zhang is an enthusiastic software engineer and open-source contributor in Microsoft DevDiv. He is the co-author of AutoGen framework and leads the development of AutoGen.Net library.

xiaoyun zhang | LinkedIn; LittleLittleCloud (Xiaoyun Zhang) (github.com)

 

Eric Zhu, Senior Researcher, Microsoft Research

Eric’s current project is AutoGen, an open-source framework for building AI agents and multi-agent systems. AutoGen is a central hub that brings together agentic AI research and applications, like PyTorch for deep learning.
https://ekzhu.com