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Transformer多頭自注意力機制（Multi-HeadAttention）-行業數據

Transformer多頭自注意力機制（Multi-HeadAttention）
Transformer多頭自注意力機制（Multi-HeadAttention）
意力機制簡單來說就是“Transformer”在處理每個詞的時候，不僅會關注這個詞本身以及附近的詞，還會去注意輸入序列里所有其他的詞，然后給予每個詞不一樣的注意力權重（權重是模型通過大量文本訓練習得的）。
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Transformer多頭自注意力機制（Multi-HeadAttention）_第1頁
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所屬報告： AIGC行業：大模型改變開發及交互環境處于高速迭代創新周期-240206（64頁）.pdf
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