{
 "title": "提示工程和微調差在哪？",
 "site": "AI 與科技名詞白話解釋",
 "canonical": "https://tw-ai-glossary.panda198271.workers.dev/compare/prompt-engineering-vs-fine-tuning",
 "markdown": "https://tw-ai-glossary.panda198271.workers.dev/compare/prompt-engineering-vs-fine-tuning.md",
 "summary": "提示工程是透過改寫指令、提供範例來引導模型，不改變模型本身；微調則用資料重新訓練，改變模型參數。提示工程成本低、立即見效，應優先嘗試；做不到穩定效果時再考慮微調。",
 "date_modified": "2026-09-26",
 "retrieved": "2026-09-27",
 "content_sha256": "bdb4017ecea4abab811b7c89135d9b4907fee31aa78ce2e64b1fecd360237d5c",
 "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://tw-ai-glossary.panda198271.workers.dev/cite?path=%2Fcompare%2Fprompt-engineering-vs-fine-tuning&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": "IBM：RAG vs. fine-tuning vs. prompt engineering",
   "url": "https://www.ibm.com/think/topics/rag-vs-fine-tuning-vs-prompt-engineering"
  },
  {
   "name": "Claude Docs：Prompt engineering overview",
   "url": "https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/overview"
  }
 ],
 "source_count": 2,
 "cite_as": {
  "zh": "提示工程和微調差在哪？｜AI 與科技名詞白話解釋。https://tw-ai-glossary.panda198271.workers.dev/compare/prompt-engineering-vs-fine-tuning（資料日期 2026-09-26，擷取 2026-09-27）",
  "apa": "AI 與科技名詞白話解釋. (2026). 提示工程和微調差在哪？. Retrieved 2026-09-27, from https://tw-ai-glossary.panda198271.workers.dev/compare/prompt-engineering-vs-fine-tuning",
  "markdown": "[提示工程和微調差在哪？](https://tw-ai-glossary.panda198271.workers.dev/compare/prompt-engineering-vs-fine-tuning)（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"
}