No Priors Ep. 67 | With Voyage AI Co-Founder and CEO
After Tengyu Ma spent years at Stanford researching AI optimization, embedding models, and transformers, he took a break from academia to start Voyage AI which allows enterprise customers to have the most accurate retrieval possible through the most useful foundational data. Tengyu joins Sarah on this week’s episode of No priors to discuss why RAG systems are winning as the dominant architecture in enterprise and the evolution of foundational data that has allowed RAG to flourish. And while fine-tuning is still in the conversation, Tengyu argues that RAG will continue to evolve as the cheapest…
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Chapters (12)
Introduction
1:59
Key points of Tengyu’s research
4:28
Academia compared to industry
6:46
Voyage AI overview
9:44
Enterprise RAG use cases
15:23
LLM long-term memory and token limitations
18:03
Agent chaining and data management
22:01
Improving enterprise RAG
25:44
Latency budgets
27:48
Advice for building RAG systems
31:06
Learnings as an AI founder
32:55
The role of academia in AI
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