689: Observing LLMs in Production to Automatically Catch Issues
Super Data Science: ML & AI Podcast with Jon Krohn
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ML Observability and Monitoring Production Issues
This chapter explores ML observability and the automation of monitoring processes to preemptively address production challenges. It covers various types of drift and introduces the Aris Phoenix library for comparing embeddings and identifying biases in models.
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Transcript
