Model Management Challenges
Luke highlights the complexities of model management, emphasizing the importance of tracking various variables and maintaining a central repository for machine learning models. Ron introduces the concept of model drift, illustrating how models can degrade over time, using the example of stop signs in winter. The discussion also touches on the misconception that MLOps can simply mirror DevOps practices, revealing the unique challenges that arise in the realm of machine learning.In this clip
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AI Today Podcast
AI Today Podcast #133: Challenges of Managing ML Models: Interview with Luke Marsden, Dotscience
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