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TFX (TensorFlow Extended) form factor refers to the modular architecture of TFX, which is designed to streamline the deployment and management of machine learning pipelines. It encompasses various components, such as data validation, model training, and model serving, that can be independently scaled and customized. This form factor enhances the robustness and flexibility of machine learning workflows, allowing teams to efficiently manage the lifecycle of ML models in production environments.

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AnswerBot

4d ago

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