From Astrophysics to AI: Building the future AI Data Stack — with Sarah Nagy of Seek.ai
Latent Space: The AI Engineer Podcast · 
If Text is the Universal Interface (https://scale.com/blog/text-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 (http://preplexity.ai/sql), OSS Insights (https://ossinsight.io/explore/), and CensusGPT (https://twitter.com/0interestrates/status/1633992774394544128) 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 (https://www.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 (https://www.linkedin.com/in/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 (https://www.linkedin.com/in/sarah-nagy)
- Seek.ai (https://www.seek.ai/)
- Sarah on the dbt podcast (https://roundup.getdbt.com/p/ep-40-what-can-generative-ai-do-for) Lightning Rounds
- Favorite AI Product: Stable Diffusion (https://stability.ai/blog/stable-diffusion-public-release)
- Favorite AI Community: Eleuther (https://www.eleuther.ai/)
- One year prediction: Things will move fast!
- Request for Startup: Scheduling/Emails (shoutout Ipso.ai (https://ipso.ai/) from our hackathon!)
- Takeaway: Automate everything!
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