Multi-head attention plays a crucial role in transformers, which have revolutionized Natural Language Processing (NLP). Understanding this mechanism is a necessary step to getting a clearer picture of current state-of-the-art language models.
Multi-head attention plays a crucial role in transformers, which have revolutionized Natural Language Processing (NLP). Understanding this mechanism is a necessary step to getting a clearer picture of current state-of-the-art language models.
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