DiscoverOpen Source Startup PodcastE163: Using Feedback Loops to Optimize LLM-Based Applications
E163: Using Feedback Loops to Optimize LLM-Based Applications

E163: Using Feedback Loops to Optimize LLM-Based Applications

Update: 2025-01-27
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Description

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



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E163: Using Feedback Loops to Optimize LLM-Based Applications

E163: Using Feedback Loops to Optimize LLM-Based Applications

Robby (MTF); Tim (Essence VC)