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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