Federated Learning
AI Infrastructure
Centralized repositories for storing managing and serving ML features.
Detailed Explanation
Feature stores are centralized systems that store, manage, and serve features used in machine learning models. They streamline data access, ensure consistency across training and deployment, and facilitate real-time and batch feature retrieval. This enhances model performance, accelerates development, and maintains data quality, making feature stores essential components in modern AI infrastructure.
Use Cases
- •Use case: Accelerate model deployment and ensure consistent features across training and inference in real-time ML applications.
Related Terms
Other terms in the AI Infrastructure category