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Creating tested, reliable AI applications

Podcast episode explores how developers can move AI applications from prototype to production through behaviour testing and closing reliability gaps.

Nov 13 · · primary fetch1 sourceupdated Nov 13 ·

It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype to production in this episode. They also talk a bit about the apparent slow down in the release of frontier models. Sponsors: Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections.

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