From Astrophysics to AI: Building the future AI Data Stack — with Sarah Nagy of Seek.ai

If Text is the Universal Interface , then Text to SQL is perhaps the killer B2B business usecase for Generative AI. You may have seen incredible demos from Perplexity AI , OSS Insights , and CensusGPT where the barrier of learning SQL and schemas goes away and you can intuitively converse with your data in natural language. But in the multi-billion dollar data engineering industry, Seek.ai has emerged as the forerunner in building a conversational engine and knowledge base that truly democratizes data insights. We’re proud to present our first remote interview with Sarah Nagy to learn how AI can help you “ seek what matters ”! Timestamps * 00:00: Intro to Sarah * 03:40: Seek.ai origin * 05:45: Data driven vs Data backfit * 09:15: How Enterprises adopt AI * 12:55: Patents and IP Law * 14:05: The Semantic Layer * 16:35: Interfaces - Dashboards vs Chat? * 21:05: LLM performance and selection * 26:05: LLMOps and LangChain * 30:55: Lightning round Show notes * Sarah Nagy Linkedin * Seek.ai * Sarah on the dbt podcast Lightning Rounds * Favorite AI Product: Stable Diffusion * Favorite AI Community: Eleuther * One year prediction: Things will move fast! * Request for Startup: Scheduling/Emails (shoutout Ipso.ai from our hackathon!) * Takeaway: Automate everything! Get full access to Latent.Space at www.latent.space/subscribe