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In the context of machine learning, **inference** refers to the process of using a trained machine learning model to make predictions or decisions on new, unseen data.

This is the operational phase of a machine learning pipeline, distinct from the training phase where the model learns patterns from the training data.

Essentially, when you deploy a model, the inference process is what happens every time a user feeds input into the model to get an output. For example, if you use a trained