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MLOps, or Machine Learning Operations, is a set of practices designed to deploy and maintain machine learning models in production reliably. MLOps aims to unify ML system development and operations.
MLOps streamlines the machine learning lifecycle, from model development to deployment, making it easier for teams to collaborate and innovate.
Implementing MLOps requires a cultural shift within organizations towards continuous integration and continuous deployment (CI/CD) methodologies.
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