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Metrics Driven Development
Practical AI
Evaluating LLM Applications vs. Models
This chapter explores the differences between assessing LLM applications and the models themselves, focusing on the needs of application developers. It highlights the importance of metrics-driven development and discusses how to adapt testing methodologies to accommodate the unique characteristics of LLM outputs.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode