{
 "title": "模型蒸餾（Knowledge Distillation）是什麼？",
 "site": "AI 與科技名詞白話解釋",
 "canonical": "https://glossary.penguindriver.com/t/distillation",
 "markdown": "https://glossary.penguindriver.com/t/distillation.md",
 "summary": "模型蒸餾是讓較小的「學生模型」學習較大「老師模型」的輸出，以較低成本保留大部分能力的技術。這個方法由 Geoffrey Hinton、Oriol Vinyals 與 Jeff Dean 在 2015 年的論文中系統化提出。",
 "date_modified": "2026-09-26",
 "retrieved": "2026-09-28",
 "content_sha256": "32e77efb48c13334d96a2763fe0c1f5cd7b4847cbf9fd918f5f2aa50c4c03173",
 "fingerprint_basis": "Markdown 版全文，移除贊助行與開頭 front matter，去除頭尾空白",
 "verify": {
  "text_snapshot": "https://glossary.penguindriver.com/cite?path=%2Ft%2Fdistillation&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": "arXiv：Distilling the Knowledge in a Neural Network（Hinton et al., 2015）",
   "url": "https://arxiv.org/abs/1503.02531"
  }
 ],
 "source_count": 1,
 "cite_as": {
  "zh": "模型蒸餾（Knowledge Distillation）是什麼？｜AI 與科技名詞白話解釋。https://glossary.penguindriver.com/t/distillation（資料日期 2026-09-26，擷取 2026-09-28）",
  "apa": "AI 與科技名詞白話解釋. (2026). 模型蒸餾（Knowledge Distillation）是什麼？. Retrieved 2026-09-28, from https://glossary.penguindriver.com/t/distillation",
  "markdown": "[模型蒸餾（Knowledge Distillation）是什麼？](https://glossary.penguindriver.com/t/distillation)（AI 與科技名詞白話解釋，2026-09-26）"
 },
 "license": "可引用，請附上正式網址與資料日期"
}