
Episode 25: Fully Reproducible ML & AI Workflows
Vanishing Gradients
The Importance of Reproducibility and Data Provenance
This chapter explores the necessity of fully reproducible workflows within the realm of closed vendor-based APIs and the role of transparency in AI and ML systems. It emphasizes the significance of data provenance and discusses how blockchain technology can aid in understanding data lineage, particularly in model development. The speakers also share personal experiences related to version control, digital hygiene, and the challenges of information overload in the tech landscape.
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