A model registry is a centralized repository for managing, versioning, and deploying machine learning models. It tracks metadata, stages, and lineage, ensuring reproducibility and collaboration. Data scientists, ML engineers, and DevOps teams benefit by streamlining model governance, facilitating seamless transitions from experimentation to production, and maintaining audit trails for compliance.
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