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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.

Essentially, once a model has been trained on a dataset, the inference phase is when you feed new input data into that model to obtain an output that the model can use for actual application.

For example:
*   **Image Classification:** Giving a picture of a cat to a trained CNN (Convolutional Neural