Preprocessing is the set of techniques applied to raw data to transform it into a more suitable format for analysis or modeling. This step is crucial in deep learning as it helps improve the quality of input data, enhances model performance, and reduces training time. In the context of advanced models, effective preprocessing ensures that the data is clean, normalized, and structured appropriately, allowing pre-trained transformer models to leverage their architectures efficiently.
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