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Building LLM Agents in Harmony

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Graph Theory for Orchestrating LLM Workflows – Tech Talk with Ahmad Albarqawi

Join us on Tuesday, July 9, at 5:30 PM CEST.

Tech Talk with Ahmad Albarqawi

Abstract

In the tech talk, Ahmad Albarqawi explores the collaboration of multimodal systems to accomplish complex tasks using graph-based approaches. The talk will begin by discussing the core components of large language models and how to integrate multiple models as agents. Following this, we will examine how to design graph-based workflows that enable LLM agents to work together efficiently.

Bio

Ahmad Albarqawi is a cybersecurity data scientist pursuing a Master of Data Science at the University of Illinois Urbana-Champaign. He has researched the safe utilization of language models and published open-source modules used by thousands of users.
Ahmad joined PI School in the 2019 cohort as a developer before transitioning to a data science role.

Join us on Tuesday, July 9 at 5:30 PM CEST.

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