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RAGs to Riches: Engineering the Future of LLM Systems

Data Council via YouTube

Overview

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Join a 46-minute keynote panel from Data Council 2025 where Denis Yarats (Co-Founder & CTO, Perplexity AI), Sharon Zhou (PhD, Founder & CEO, Lamini), Michele Catasta (President, Replit), and moderator Dr. Joseph Gonzalez (Professor, Head of AI, UC Berkeley, RunLLM) share insights from their pioneering work in LLM system design. Explore cutting-edge developments from retrieval-augmented generation to agentic search. Gain valuable perspectives on creating reliable AI tools that deliver real-world value while addressing technical challenges like grounding LLMs and reducing hallucinations. Essential viewing for teams building AI applications or architecting scalable systems.

Syllabus

RAGs to Riches: Engineering the Future of LLM Systems

Taught by

Data Council

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