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E163: Using Feedback Loops to Optimize LLM-Based Applications
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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By Robby (MTF); Tim (Essence VC)
5
1717 ratings
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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