Model Versioning

Tracking and managing different model versions.

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Model versioning keeps track of model artifacts, configurations, and training data to ensure reproducibility and rollback capability.

• Tools: MLflow, DVC, Weights & Biases.
• Goal: Transparency and control over the AI model lifecycle.