Technical Talks
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AGI Is Already Here (But It's Not What You Think)
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ABOUT THE TALK
- GenAI Applications
The Future of AGI: Building Compound AI Systems | Explore a paradigm shift in AGI development through the lens of compound AI systems that integrate multiple LLMs with specialized tools. Learn how orchestrating diverse AI components can achieve human-level performance across broad task domains, demonstrated through RunLLM's AI support engineer implementation. Features practical approaches to building general-purpose AI workflows that combine speed, accuracy, and adaptability. Includes real-world case studies showing how compound AI systems are transforming customer support and service automation.
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Professor
Joseph Gonzalez
RunLLM & UC Berkeley
Joseph Gonzalez is a Computer Science Professor at UC Berkeley, the co-director of the RISE and Sky Computing Labs, and a member of the Berkeley AI Research (BAIR) group. He leads the Large Models Systems (LM-Sys) and Gorilla projects which have significantly advanced open research in large language models and their supporting systems. Joseph is also co-founder and Head of AI at RunLLM.com. His research addresses problems in data systems, large language models, scalable machine learning, computer vision, robotics, autonomous driving, and graph analytics. Prior to joining Berkeley, Gonzalez co-founded Turi Inc (formerly GraphLab) based on his thesis work. Gonzalez’s innovative work has earned him significant recognition, including the Okawa Research Grant, the NSF Expedition Award, the VLDB Test-of-Time award, and NSF Early CAREER Award.
Discover the data foundations powering today's AI breakthroughs. Join leading minds as we explore both cutting-edge AI and the infrastructure behind it. Reserve your spot at before tickets sell out!