[KongchangAI]
Unverified60% confidenceFactExact time

The Transformer uses Scaled Dot-Product Attention, where each word is mapped to three vectors—Query, Key, and Value—and attention weights are computed via the dot product of Query and Key, normalized by softmax, and then used to compute a weighted sum of the Values

2
Sources
60%
Confidence
Long-term
Relevance
8/26/2026
First Seen

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