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Practical AI: Machine Learning, Data Science, LLM
The Importance of a Model Registry in Machine Learning
A model registry serves as a crucial infrastructure for managing different versions of machine learning models. It facilitates the tracking and retrieval of models through an API, significantly streamlining the workflow for practitioners. By using a model registry, individuals can avoid the chaos of locating stored models, thus enhancing efficiency and ensuring a more organized approach to model management in future projects.
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