While Model Trains

Read data blog posts.
Carefully handpicked.
Presented 3 at a time.

Why is DevOps for Machine Learning so Different?

Ryan Dawson

A detailed analysis of the differences between MLOps and traditional DevOps.

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The AI Hierarchy of Needs

Monica Rogati

"Think of AI as the top of a pyramid of needs. Yes, self-actualization (AI) is great, but you first need food, water and shelter (data literacy, collection and infrastructure)."

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Why Open-Source a Model?

Matt Rickard

A compilation of several examples that illustrate the motivation behind open sourcing a machine learning model.

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