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Prompts as Functions: The BAML Revolution in AI Engineering

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Manage episode 474923621 series 2570898
Content provided by Ben Lorica. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ben Lorica or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

David Hughes, Principal Data & AI Solution Architect at Enterprise Knowledge. Our discussion centers on BAML, a domain-specific language that transforms prompts into structured functions with defined inputs and outputs, enabling developers to create more deterministic and maintainable AI applications.

Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/

Support our work by leaving a small tip 💰 https://buymeacoffee.com/gradientflow
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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

  continue reading

282 episodes

Artwork
iconShare
 
Manage episode 474923621 series 2570898
Content provided by Ben Lorica. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Ben Lorica or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

David Hughes, Principal Data & AI Solution Architect at Enterprise Knowledge. Our discussion centers on BAML, a domain-specific language that transforms prompts into structured functions with defined inputs and outputs, enabling developers to create more deterministic and maintainable AI applications.

Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/

Support our work by leaving a small tip 💰 https://buymeacoffee.com/gradientflow
Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS.
Detailed show notes - with links to many references - can be found on The Data Exchange web site.

  continue reading

282 episodes

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