How do you systematically measure, optimize, and improve the performance of LLM applications (like those powered by RAG or tool use)? Ragas is an open source effort that has been trying to answer this question comprehensively, and they are promoting a “Metrics Driven Development” approach. Shahul from Ragas joins us to discuss Ragas in this episode, and we dig into specific metrics, the difference between benchmarking models and evaluating LLM apps, generating synthetic test data and more.

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Featuring:

Shahul Es – Twitter, GitHub, LinkedIn
Daniel Whitenack – Twitter, GitHub, Website

Show Notes:

Ragas

Something missing or broken? PRs welcome!

Metrics Driven Development 42:14 Share

Practical AI: Machine Learning, Data Science, LLM

Shownotes Transcript

Metrics Driven Development