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Answer Posted / Mitan Verma
Masking works in Transformer models by randomly hiding some of the input tokens and training the model to predict their values. This technique is used for tasks such as language modeling, where the goal is to generate the next word given a sequence of words. Masking helps the model learn to focus on important information and ignore irrelevant details.
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