What is AI model versioning and why is it important?
AI model versioning is the practice of managing different iterations of AI models to track changes, improvements, and performance.
How do I implement versioning in my AI projects?
You can implement versioning by using tools like Git for code, and maintaining a clear changelog for model updates.
What are the benefits of versioning AI models?
Benefits include better collaboration, easier debugging, and the ability to roll back to previous versions if needed.
Can you give me an example of a versioning strategy?
A common strategy is semantic versioning, where you use a format like MAJOR.MINOR.PATCH to indicate changes.
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