AI Models • April 29, 2026
AI Model Registry: Managing the Model Lifecycle at Scale
How model registries provide a centralized system for versioning, metadata tracking, and governance of ML models in production.
How model registries provide a centralized system for versioning, metadata tracking, and governance of ML models in production.
A practical guide to managing ML experiments and model versions using tools like MLflow, Weights & Biases, and DVC. Covers experiment tracking, model registry patterns, and scaling strategies for teams.