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Centralized Control and Flexibility in Machine Learning
Centralized Control and Flexibility in Machine Learning Operations – Paul Murphy
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In an AI/ML world, the ability to effectively manage and control various components, from the code and models to the data and weights, is paramount. Centralizing these functions can empower teams to oversee and enhance ML operations, enabling consistent quality, reduced redundancy, and more…
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