Speaker: Victor Dibia
Principal Research Software Engineer @Microsoft Research, Core Contributor to AutoGen, Author of "Multi-Agent Systems with AutoGen" book. Previously @Cloudera, @IBMResearch
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.
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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.
Date
Tuesday Nov 19 / 03:55PM PST ( 50 minutes )
Location
Ballroom BC
