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Lecture 11B: Monitoring ML Models (Full Stack Deep Learning - Spring 2021)

The Full Stack 5,139 4 years ago
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New course announcement ✨ We're teaching an in-person LLM bootcamp in the SF Bay Area on November 14, 2023. Come join us if you want to see the most up-to-date materials building LLM-powered products and learn in a hands-on environment. https://www.scale.bythebay.io/llm-workshop Hope to see some of you there! --------------------------------------------------------------------------------------------- In this lecture, you will learn how to monitor models (aka, keeping them healthy in production). 00:00​ - Introduction 01:10​ - Model Performance Degrades Post-Deployment 04:00​ - Data Drift 07:25​ - What To Monitor? 10:42​ - How To Measure When Things Change 24:07​ - How To Tell If A Change Is Bad 26:19​ - Tools For Monitoring 27:46​ - Monitoring And Your Broader ML System 34:26 - Takeaways

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