In this session, we will explore how developing AI agents can help solve complex, multi-step problems.
AI agents, designed with distinct roles and capabilities, can collaborate dynamically, reduce manual intervention and improving efficiency in problem-solving tasks. Modern AI agents will integrate with Large Language Models for advanced planning capabilities.
We'll look at the core concepts behind agentic AI, explain various conversation patterns, and showcase live demos using the AutoGen framework which is an open-source framework for building AI agent systems.
AutoGen can simplify the creation of event-driven, distributed, scalable, and resilient agentic applications. It allows you to quickly build systems where AI agents collaborate and perform tasks autonomously or with human oversight.
Jakob Ehn works as a Cloud architecture and DevOps specialist at Active Solution. For more than 20 years, has has been building software solutions, educating developers and teams on Microsoft technologies through training, books, and conference talks.
Jakob is a Microsoft Azure MVP (former ALM/DevOps MVP). He is a regular speaker at various conferences and user groups around the world, such as NDC, Techorama, DevSum, CloudBrew, UpdateConf and SweTugg.
