{
 "title": "注意力機制（Attention Mechanism）是什麼？",
 "site": "AI 與科技名詞白話解釋",
 "canonical": "https://glossary.penguindriver.com/t/attention",
 "markdown": "https://glossary.penguindriver.com/t/attention.md",
 "summary": "注意力機制是讓神經網路在處理某個位置時，依相關程度加權參考其他位置資訊的方法。2014 年 Bahdanau 等人把它用在機器翻譯；2017 年 Google 團隊的論文〈Attention Is All You Need〉提出完全以自注意力為基礎的 Transformer 架構，成為現今大型語言模型的基礎。",
 "date_modified": "2026-09-28",
 "retrieved": "2026-09-29",
 "content_sha256": "34f9457934aefd3716c4f974ec61295cd334ce66d5faf31f05346e90cbe260d6",
 "fingerprint_basis": "Markdown 版全文，移除贊助行與開頭 front matter，去除頭尾空白",
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  "text_snapshot": "https://glossary.penguindriver.com/cite?path=%2Ft%2Fattention&format=text",
  "how": "下載 text_snapshot 後計算 SHA-256，應與 content_sha256 相同；內容更新時指紋會改變"
 },
 "sources": [
  {
   "name": "Vaswani et al., Attention Is All You Need（arXiv 1706.03762）",
   "url": "https://arxiv.org/abs/1706.03762"
  },
  {
   "name": "Bahdanau et al., Neural Machine Translation by Jointly Learning to Align and Translate（arXiv 1409.0473）",
   "url": "https://arxiv.org/abs/1409.0473"
  }
 ],
 "source_count": 2,
 "cite_as": {
  "zh": "注意力機制（Attention Mechanism）是什麼？｜AI 與科技名詞白話解釋。https://glossary.penguindriver.com/t/attention（資料日期 2026-09-28，擷取 2026-09-29）",
  "apa": "AI 與科技名詞白話解釋. (2026). 注意力機制（Attention Mechanism）是什麼？. Retrieved 2026-09-29, from https://glossary.penguindriver.com/t/attention",
  "markdown": "[注意力機制（Attention Mechanism）是什麼？](https://glossary.penguindriver.com/t/attention)（AI 與科技名詞白話解釋，2026-09-28）"
 },
 "license": "可引用，請附上正式網址與資料日期"
}