Speaker: Victor Dibia
Principal Research Software Engineer @Microsoft Research
Victor Dibia is a Principal Research Software Engineer at Microsoft Research where his current work is focused on the design of multi-agent systems powered by Generative AI models. Victor is a core contributor to AutoGen - a leading python open source library for building multi-agent applications and the creator of AutoGen Studio, a low code interface for authoring, testing and debugging multi-agent workflows.
Session
10 Reasons Your Multi-Agent Workflows Fail and What You Can Do About It
Multi-agent systems – a setup where multiple agents (generative AI models with access to tools) collaborate to solve complex tasks – are an emerging paradigm for building applications.