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In the context of machine learning, **inference** is the process of using a trained machine learning model to make predictions on new, unseen data. Essentially, once a model has been trained on a dataset, the inference phase is when you feed new input data into the model to obtain an output or a prediction that the model is capable of generating. This is the operational phase of a deployed model.

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