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Jeff Huber

Co-founder of Chroma, working on retrieval for AI. Focuses on building production systems with AI and business process automation.

Top 3 podcasts with Jeff Huber

Ranked by the Snipd community
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1,734 snips
Aug 19, 2025 • 0sec

Long Live Context Engineering - with Jeff Huber of Chroma

Jeff Huber, Founder and CEO of Chroma, shares insights on the future of vector databases and the unique aspects of modern AI search. He discusses the challenges of context rot and the importance of context quality in AI applications. The conversation dives into retrieval strategies, memory management, and the evolution of transformer architecture. Huber also reflects on his previous startup experiences and the intersection of personal values with company culture, emphasizing the need for a cohesive brand identity in tech.
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84 snips
Apr 8, 2025 • 3h 10min

Meta AI Deep Dive, Jeff Huber, Sheel Mohnot, Leif Abraham, Samuel Hammond, Víctor Perez, Jai Malik, Pratap Ranade

Join Jeff Huber, co-founder of Chroma, and Jai Malik, CEO of AMCA, as they dive into Meta's groundbreaking Llama 4 and its implications for open-source AI. Samuel Hammond shares vital insights on tech policy, while Sheel Mohnot discusses fintech market dynamics. Leif Abraham analyzes investor behavior amid turbulence, and Víctor Perez reveals how AI is revolutionizing creativity. The conversation flows through navigating economic challenges, the role of automation in manufacturing, and the interplay of innovation in finance and technology.
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9 snips
Oct 24, 2024 • 55min

Jeff Huber of Chroma: Building the open-source toolkit for AI Engineering

In this discussion, Jeff Huber, founder of Chroma, shares insights on vector databases and their critical role in AI engineering. He dives into the issues surrounding retrieval-augmented generation (RAG) terminology, advocating for clearer language in the field. Jeff details the evolution of Chroma, focusing on developer experiences and real-world applications, while also debating the timelines for achieving super AI. Listeners will learn about embedding processes, the significance of context in AI, and the challenges of AI deployment in production systems.

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