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In the context of machine learning, inference is the process of using a trained machine learning model to make predictions or decisions on new, unseen data. This is often referred to as deployment or prediction.

Here are the key aspects of inference:

1. **Purpose:** To generate outputs (predictions, classifications, etc.) from the learned parameters of a model.
2. **Process:** It involves feeding new input data into the model's forward pass, where the data flows