AutoGen is an open-source framework from Microsoft that enables developers to create large language model (LLM) applications using multiple agents that can communicate with each other. The best part? These agents are fully customizable and can operate in various modes, combining LLMs, human input, and tools to get the job done.

The session will focus on:
Theory and examples of AI Agents

What will you learn from this session?
To define agent interaction behaviors using both natural language and computer code, allowing for flexible conversation patterns tailored to your specific needs.

Read More: https://medium.com/technology-hits/power-of-autonomous-ai-agents-456159b3b4b2

Speaker Bio:
Yogesh Kulkarni, an AI Coach with 20+ years of experience in CAD software development and R&D management. He holds a PhD in Geometric Modelling and works in areas such as AI, Data Science, Machine/Deep Learning, NLP, and Generative AI.

Social Handle of the speaker: https://www.linkedin.com/in/yogeshkulkarni/