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E163: Using Feedback Loops to Optimize LLM-Based Applications

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Manage episode 463427740 series 3438596
Content provided by Robby (MTF); Tim (Essence VC). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Robby (MTF); Tim (Essence VC) 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://ppacc.player.fm/legal.

Viraj Mehta is the Co-Founder & CTO of TensorZero which is an open-source infrastructure platform that creates a feedback loop for optimizing LLM applications. Their open source project helps users turn production data into smarter, faster, and cheaper models.

In this episode, we dig into:

  • The benefits of feedback loops for LLMs

  • Helping their users choose the best underlying models for their applications

  • "Recipes" as a potential monetization path

  • The most common optimizations for LLM-based apps

  • Educating users on what's possible with LLMs

  continue reading

175 episodes

Artwork
iconShare
 
Manage episode 463427740 series 3438596
Content provided by Robby (MTF); Tim (Essence VC). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Robby (MTF); Tim (Essence VC) 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://ppacc.player.fm/legal.

Viraj Mehta is the Co-Founder & CTO of TensorZero which is an open-source infrastructure platform that creates a feedback loop for optimizing LLM applications. Their open source project helps users turn production data into smarter, faster, and cheaper models.

In this episode, we dig into:

  • The benefits of feedback loops for LLMs

  • Helping their users choose the best underlying models for their applications

  • "Recipes" as a potential monetization path

  • The most common optimizations for LLM-based apps

  • Educating users on what's possible with LLMs

  continue reading

175 episodes

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