challenge_3679_1780708180055

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.

Essentially, after a model has been trained on a dataset, the inference phase is when you feed new input data into that model to get an output. For example, if you have trained an image classifier, the inference step is when you show a new picture to the model to see what category it predicts.

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