Reinforcement Learning for search
· 47 min · Episode 110
Episode Reinforcement Learning for search
Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen for a while, and it was well worth the wait.
Featuring:
• Hamish Ogilvy – X • Chris Benson – Website, GitHub, LinkedIn, X • Daniel Whitenack – Website, GitHub, X
Show Notes:
• Sajari • Blog post: “Reinforcement Learning Assisted Search Ranking” • Blog post: “Query Understanding 101” • Blog post: “The Inevitable Collision of Search and AI Tech” • Special offer from Sajari for Changelog listeners
Upcoming Events:
• Register for upcoming webinars here!
Links in the notes 14
- https://x.com/hamishogilvy
- https://chrisbenson.com
- https://github.com/chrisbenson
- https://www.linkedin.com/in/chrisbenson
- https://x.com/chrisbenson
- https://www.datadan.io/
- https://github.com/dwhitena
- https://x.com/dwhitena
- https://www.sajari.com/
- https://www.sajari.com/blog/reinforcement-learning-assisted-search-ranking/
- https://www.sajari.com/blog/query-understanding-101/
- https://www.sajari.com/blog/search-ai-tech/
- https://try.sajari.com/changelog
- https://practicalai.fm/webinars
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