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GLOSSARY > MODEL REGISTRY

Model Registry

A central repository for managing the lifecycle of machine learning models, including their versions, artifacts, and metadata.

A Model Registry is the Git repository for AI. It tracks the exact datasets, hyperparameter configurations, and evaluation metrics used to train every iteration of a model. This strict version control is vital for auditability, rollback capabilities, and maintaining resilient deployment paths.