Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Effortless Model Artifact Management in Metaflow
This chapter explores how the Metaflow framework effectively manages model artifacts by automatically tracking and storing workflow states. The discussion highlights the flexibility of model serialization formats and the system's ease of use in reducing user cognitive load.
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