Central repository for storing, versioning, and managing trained machine learning models with their metadata. Like a library catalog system that tracks all versions of AI models.
A model registry stores each version of a recommendation model, tracking which version is in production, staging, or archived.
Central repository for storing, versioning, and managing trained machine learning models with their metadata. Like a library catalog system that tracks all versions of AI models.
A model registry stores each version of a recommendation model, tracking which version is in production, staging, or archived.
Related concepts include MLOps, Version Control, Model Deployment. Understanding these connections helps build a comprehensive knowledge of cloud computing concepts.