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Why is Model Versioning important in AI Model Deployment & MLOps How does Model Versioning work What are the key parts or types of Model Versioning What are common mistakes to avoid with Model Versioning What is a real world example of Model Versioning What are best practices for Model Versioning
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What is Model Versioning

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Answer

Model versioning is the practice of keeping track of different versions of a trained AI model so teams can compare, roll back, or reproduce results over time.
Real-world example A team rolls back to a previous model version after noticing the newest version performs worse on real customer data.

Common follow-ups: What is AI Model Deployment & MLOps, How is Model Versioning evaluated in practice, What tools are commonly used for Model Versioning

AI Model Deployment & MLOps topics: Introduction to MLOps Model Versioning CI/CD for Machine Learning
All 7 Model Versioning questions