Video Generation Models
AI Infrastructure
A system for tracking changes to ML models their training data and associated code over time.
Detailed Explanation
Version Control for Models is a system that tracks and manages changes to machine learning models, training data, and related code over time. It enables teams to revert to previous versions, collaborate efficiently, ensure reproducibility, and monitor model evolution, streamlining model management and improving reliability in AI development workflows.
Use Cases
- •Managing model updates and collaborations effectively in a team to ensure reproducibility and seamless rollback.
Related Terms
Other terms in the AI Infrastructure category