Reinforcement Learning for search

Practical AI

EpisodeOct 26, 202047m

Reinforcement Learning for search

Practical AI

EpisodeOct 26, 202047m

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 – XChris Benson – Website, GitHub, LinkedIn, XDaniel Whitenack – Website, GitHub, XShow Notes:SajariBlog 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 listenersUpcoming Events: Register for upcoming webinars here!

Top comments

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

practicalai.fm

Switch to the Fountain App

Open in Fountain