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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, inference is when you feed new input data into that model to obtain an output or prediction.

This process is distinct from the *training* phase, where the model learns patterns from the data.

For example:
1. **Training:** Feeding the model with input features