An encoder is a component in machine learning models that transforms input data into a different representation, typically in a compressed format. This process enables the model to capture important features and patterns within the data, which are essential for subsequent tasks like decoding or classification. Encoders play a critical role in architectures that utilize attention mechanisms, as well as in systems designed for tasks like translation or summarization.
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