How to Build Self-Improving AI via Data-Driven Loops
Hosted by Jason Liu and Hamish Ogilvy
What you'll learn
Design Dynamic Query Planners
Create Composable Search Primitives
Implement Self-Learning Feedback Loops
Why this topic matters
You'll learn from
Jason Liu
Consultant at the intersection of Information Retrieval and AI
Jason has built search and recommendation systems for the past 6 years. He has consulted and advised a dozens startups in the last year to improve their RAG systems. He is the creator of the Instructor Python library.
Hamish Ogilvy
VP of AI, Algolia
Hamish was a founder of search.io, a proprietary search engine and one of the first production scale vector + full text search engines handling billions of queries a month. Search.io was later acquired by Algolia where he is now the Vice President of AI. He has 10+ years experience designing and building search engines and distributed systems. Prior to this he specialised in data and analytics. He holds a PhD in Physics
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