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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 on new, unseen data. Essentially, once a model has been trained on a dataset, inference is the practical application phase where the model's learned patterns are utilized to generate outputs for new inputs.

This is distinct from the training phase, which is where the model learns the parameters (weights and biases) from the data.

In summary, inference is