The key component of the transformer architecture is the attention module. Its job is to figure out the matching pairs (think: Translation) in a sequence through similarity scores. When the length of a sequence increases, calculating similarity scores for all pairs gets inefficient. So, the researchers have come up with the sparse attention technique where…

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