Model Registry

Model registries help teams manage the transition from experimentation to production. They can record training information, evaluation results, artifacts, ownership, lifecycle states, and which model version is currently deployed. Understanding the concept helps practitioners choose training methods, evaluate model quality, and reduce errors when predictions are used in production systems.