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Feast provides an open-source feature store designed to streamline the machine learning lifecycle. Their platform enables data scientists and ML engineers to define, manage, and serve features consistently across model training and real-time inference, addressing a critical need for operationalizing ML models at scale. Feast targets organizations building and deploying machine learning applications – particularly those leveraging large language models and real-time personalization – by providing a centralized repository for feature data and supporting integrations with popular MLOps tools like Ray and Kubeflow.
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