The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Navigating the Challenges of Machine Learning Artifact Management
This chapter explores the difficulties in managing machine learning artifacts and the transition from simplistic methods to advanced solutions. It highlights the limitations of traditional file systems and discusses innovative tools like DVC, Pachyderm, and Quilt that improve dataset versioning and their integration into current workflows.
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