A feature store is a centralized repository that stores and manages features, which are pre-computed values used to train and serve machine learning models, allowing data scientists and engineers to share, reuse, and version features across different projects and applications. By providing a single source of truth for features, a feature store streamlines the machine learning development process, improves model accuracy, and reduces the time and effort required to deploy models into production, making it a crucial component in modern AI and data science workflows.
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