In natural language processing, a mask token is a placeholder used in models like BERT to hide certain words during training. It forces the model to predict the missing term based on context, improving understanding of language patterns. Developers and data scientists benefit from this technique, as it enhances accuracy in tasks such as text classification and question answering.
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