[{"data":1,"prerenderedAt":554},["ShallowReactive",2],{"post-2026-08-04":3},{"article":4,"tagArticleCount":468,"categoryesArticleCount":539},{"_path":5,"_dir":6,"_draft":7,"_partial":7,"_locale":8,"title":9,"description":10,"category":11,"tags":14,"sumb":17,"sumb_alt":18,"createdAt":19,"updateAt":19,"draft":7,"body":20,"_type":462,"_id":463,"_source":464,"_file":465,"_stem":466,"_extension":467},"\u002Fpost\u002F2026-08-04","post",false,"","プロンプトエンジニアリングって？【AI初心者講座③】","第3回はプロンプトエンジニアリングについて。",[12,13],"勉強","開発・技術",[15,16],"AI","AI初心者講座","2026-07-28\u002Fimage.webp","AIの勉強をしている女の子","2026-08-06 22:56",{"type":21,"children":22,"toc":435},"root",[23,30,41,48,55,77,83,96,109,140,152,158,168,173,178,184,189,231,237,242,247,252,257,278,283,288,295,304,313,319,327,332,338,343,385,391,408,414,419,425],{"type":24,"tag":25,"props":26,"children":27},"element","p",{},[28],{"type":29,"value":10},"text",{"type":24,"tag":25,"props":31,"children":32},{},[33,35,39],{"type":29,"value":34},"AIの回答の精度は**「こちらがどう指示（質問）するか」**で劇的に変わります。",{"type":24,"tag":36,"props":37,"children":38},"br",{},[],{"type":29,"value":40},"\n今回はAIの能力を最大限に引き出すための「基本の型」と「思考プロセスのコントロール方法」を学んでいきましょう！",{"type":24,"tag":42,"props":43,"children":45},"h2",{"id":44},"_1-プロンプトエンジニアリングとは",[46],{"type":29,"value":47},"1. プロンプトエンジニアリングとは？",{"type":24,"tag":49,"props":50,"children":52},"h3",{"id":51},"プロンプトってなに復習",[53],{"type":29,"value":54},"プロンプトってなに？（復習）",{"type":24,"tag":25,"props":56,"children":57},{},[58,60,67,69,75],{"type":29,"value":59},"AIに入力する指示文や質問テキストのことを",{"type":24,"tag":61,"props":62,"children":64},"code",{"className":63},[],[65],{"type":29,"value":66},"「プロンプト（Prompt）」",{"type":29,"value":68},"と呼びます。そして、AIからより高精度で思い通りの回答を引き出すために、プロンプトの出し方を工夫する技術や手法のことを",{"type":24,"tag":61,"props":70,"children":72},{"className":71},[],[73],{"type":29,"value":74},"「プロンプトエンジニアリング（Prompt Engineering）」",{"type":29,"value":76},"といいます。",{"type":24,"tag":49,"props":78,"children":80},{"id":79},"なぜプロンプトの工夫が必要なの復習",[81],{"type":29,"value":82},"なぜプロンプトの工夫が必要なの？（復習）",{"type":24,"tag":25,"props":84,"children":85},{},[86,88,94],{"type":29,"value":87},"現在の生成AIのベースとなっているのは、",{"type":24,"tag":61,"props":89,"children":91},{"className":90},[],[92],{"type":29,"value":93},"LLM（Large Language Model \u002F 大規模言語モデル）",{"type":29,"value":95},"という技術です。",{"type":24,"tag":25,"props":97,"children":98},{},[99,101,107],{"type":29,"value":100},"LLMは、膨大な文章データを学習し、",{"type":24,"tag":102,"props":103,"children":104},"strong",{},[105],{"type":29,"value":106},"「直前の文章に続く、確率的に最も自然な言葉」を予測して出力する仕組み",{"type":29,"value":108},"を持っています。",{"type":24,"tag":110,"props":111,"children":112},"ul",{},[113,127],{"type":24,"tag":114,"props":115,"children":116},"li",{},[117,122,125],{"type":24,"tag":102,"props":118,"children":119},{},[120],{"type":29,"value":121},"曖昧な指示を投げると…",{"type":24,"tag":36,"props":123,"children":124},{},[],{"type":29,"value":126},"\nAIは「一般的で無難な言葉」を予測して返すため、ありきたりな回答になります。",{"type":24,"tag":114,"props":128,"children":129},{},[130,135,138],{"type":24,"tag":102,"props":131,"children":132},{},[133],{"type":29,"value":134},"具体的で文脈のある指示を投げると…",{"type":24,"tag":36,"props":136,"children":137},{},[],{"type":29,"value":139},"\nAIの予測範囲が絞り込まれ、ピンポイントで質の高い回答が返ってきます。",{"type":24,"tag":25,"props":141,"children":142},{},[143,145,150],{"type":29,"value":144},"AIは「人間の意図を汲み取って空気を読む」ことは得意ではありません。だからこそ、AIに正しい道筋を示す",{"type":24,"tag":102,"props":146,"children":147},{},[148],{"type":29,"value":149},"プロンプトエンジニアリング",{"type":29,"value":151},"が重要になるのです。",{"type":24,"tag":42,"props":153,"children":155},{"id":154},"_2-ペルソナ指定role-prompting",[156],{"type":29,"value":157},"2. ペルソナ指定（Role Prompting）",{"type":24,"tag":25,"props":159,"children":160},{},[161,163,166],{"type":29,"value":162},"1つ目はペルソナ指定について。",{"type":24,"tag":36,"props":164,"children":165},{},[],{"type":29,"value":167},"\nAIに「誰として回答してほしいか」という役割や立場（ペルソナ）を与える手法を**「ペルソナ指定（Role Prompting）」**と言います。",{"type":24,"tag":49,"props":169,"children":171},{"id":170},"効果と指定方法",[172],{"type":29,"value":170},{"type":24,"tag":25,"props":174,"children":175},{},[176],{"type":29,"value":177},"プロンプトの冒頭に**「あなたは〇〇のプロです」「〜の立場として回答してください」**と一言添えるだけで、AIが参照する知識の領域や言葉遣い、視点がその役割に固定され、回答の専門性や説得力が一気に増します。",{"type":24,"tag":49,"props":179,"children":181},{"id":180},"専門家ペルソナ別の使い分けテクニック",[182],{"type":29,"value":183},"専門家・ペルソナ別の使い分けテクニック",{"type":24,"tag":25,"props":185,"children":186},{},[187],{"type":29,"value":188},"目的やターゲットに合わせてペルソナを柔軟に変えてみましょう。",{"type":24,"tag":110,"props":190,"children":191},{},[192,205,218],{"type":24,"tag":114,"props":193,"children":194},{},[195,200,203],{"type":24,"tag":102,"props":196,"children":197},{},[198],{"type":29,"value":199},"【専門家風】知見を深めたいとき",{"type":24,"tag":36,"props":201,"children":202},{},[],{"type":29,"value":204},"\n「あなたは10年のキャリアを持つWebマーケターです。新人向けにSEOの基本を解説してください。」",{"type":24,"tag":114,"props":206,"children":207},{},[208,213,216],{"type":24,"tag":102,"props":209,"children":210},{},[211],{"type":29,"value":212},"【初心者・学習風】わかりやすく解説してほしいとき",{"type":24,"tag":36,"props":214,"children":215},{},[],{"type":29,"value":217},"\n「あなたは小学生に教えるのが上手な理科の先生です。量子力学について例え話を使って説明してください。」",{"type":24,"tag":114,"props":219,"children":220},{},[221,226,229],{"type":24,"tag":102,"props":222,"children":223},{},[224],{"type":29,"value":225},"【批判的・アイディア出し】課題を発見したいとき",{"type":24,"tag":36,"props":227,"children":228},{},[],{"type":29,"value":230},"\n「あなたは辛口な投資家です。以下の事業計画書に対して、リスクや弱点を指摘してください。」",{"type":24,"tag":42,"props":232,"children":234},{"id":233},"_3-ステップバイステップ思考chain-of-thought-cot",[235],{"type":29,"value":236},"3. ステップバイステップ思考（Chain of Thought \u002F CoT）",{"type":24,"tag":25,"props":238,"children":239},{},[240],{"type":29,"value":241},"2つ目はステップバイステップ思考。",{"type":24,"tag":25,"props":243,"children":244},{},[245],{"type":29,"value":246},"複雑な問題や論理的な思考が必要な質問をするとき、AIに一発で答えを出させようとすると計算ミスや論理の飛躍（間違い）が起きやすくなります。",{"type":24,"tag":25,"props":248,"children":249},{},[250],{"type":29,"value":251},"そこで使われるのが、**CoT（Chain of Thought \u002F 思考の鎖）**と呼ばれるテクニックです。",{"type":24,"tag":49,"props":253,"children":255},{"id":254},"指示のしかた",[256],{"type":29,"value":254},{"type":24,"tag":25,"props":258,"children":259},{},[260,262,268,270,276],{"type":29,"value":261},"やり方はとても簡単。プロンプトの中に",{"type":24,"tag":61,"props":263,"children":265},{"className":264},[],[266],{"type":29,"value":267},"「ステップバイステップで考えてください」",{"type":29,"value":269},"や",{"type":24,"tag":61,"props":271,"children":273},{"className":272},[],[274],{"type":29,"value":275},"「順を追って段階的に思考してください」",{"type":29,"value":277},"という一言を含めるだけです。",{"type":24,"tag":25,"props":279,"children":280},{},[281],{"type":29,"value":282},"これだけで、AIは「思考のプロセス」を内部で（または出力上で）一行ずつ積み重ねるようになり、最終的な回答の精度が劇的に向上します。",{"type":24,"tag":49,"props":284,"children":286},{"id":285},"活用例",[287],{"type":29,"value":285},{"type":24,"tag":289,"props":290,"children":292},"h4",{"id":291},"失敗しやすい例一発で答えを求める",[293],{"type":29,"value":294},"❌ 失敗しやすい例（一発で答えを求める）",{"type":24,"tag":296,"props":297,"children":299},"pre",{"code":298},"Aさんはりんごを3個持っています。\nBさんから2倍受け取り、Cさんに半分あげました。\n最終的に何個？\n",[300],{"type":24,"tag":61,"props":301,"children":302},{"__ignoreMap":8},[303],{"type":29,"value":298},{"type":24,"tag":25,"props":305,"children":306},{},[307],{"type":24,"tag":308,"props":309,"children":310},"em",{},[311],{"type":29,"value":312},"※複雑な条件になると、AIは途中式を飛ばして直感で間違えることがあります",{"type":24,"tag":289,"props":314,"children":316},{"id":315},"cotを活用した例",[317],{"type":29,"value":318},"⭕ CoTを活用した例",{"type":24,"tag":296,"props":320,"children":322},{"code":321},"以下の問題を**ステップバイステップで順を追って**解いてください。\n \n【問題】\nAさんは最初にりんごを3個持っています。\n1. Bさんから現在の持っている量の2倍を追加で受け取りました。\n2. その後、手持ちの半分をCさんにあげました。\n最終的にAさんが持っているりんごは何個ですか？\n\n【出力フォーマット】\n- ステップ1：〜〜\n- ステップ2：〜〜\n- 最終回答：〜〜\n",[323],{"type":24,"tag":61,"props":324,"children":325},{"__ignoreMap":8},[326],{"type":29,"value":321},{"type":24,"tag":25,"props":328,"children":329},{},[330],{"type":29,"value":331},"というように、CoTを使うことで、AIは人間が裏紙で計算用紙（下書き）を作るのと同じ状態になり、論理的なエラーを防ぐことができます。",{"type":24,"tag":42,"props":333,"children":335},{"id":334},"_4-まとめワークショップ",[336],{"type":29,"value":337},"4. まとめ＆ワークショップ",{"type":24,"tag":49,"props":339,"children":341},{"id":340},"本日のまとめ",[342],{"type":29,"value":340},{"type":24,"tag":344,"props":345,"children":346},"ol",{},[347,359,372],{"type":24,"tag":114,"props":348,"children":349},{},[350,354,357],{"type":24,"tag":102,"props":351,"children":352},{},[353],{"type":29,"value":149},{"type":24,"tag":36,"props":355,"children":356},{},[],{"type":29,"value":358},"\nAIの仕組み（LLM）を理解し、適切な指示（プロンプト）を与える技術。",{"type":24,"tag":114,"props":360,"children":361},{},[362,367,370],{"type":24,"tag":102,"props":363,"children":364},{},[365],{"type":29,"value":366},"ペルソナ指定（Role Prompting）",{"type":24,"tag":36,"props":368,"children":369},{},[],{"type":29,"value":371},"\n「あなたは〇〇です」と役割を与えることで、回答の視点・精度を最適化する。",{"type":24,"tag":114,"props":373,"children":374},{},[375,380,383],{"type":24,"tag":102,"props":376,"children":377},{},[378],{"type":29,"value":379},"ステップバイステップ思考（CoT）",{"type":24,"tag":36,"props":381,"children":382},{},[],{"type":29,"value":384},"\n「段階的に考えて」と伝えることで、AIに思考のプロセスを踏ませ、複雑な問題の正解率を上げる。",{"type":24,"tag":49,"props":386,"children":388},{"id":387},"ワークショップ実際に試してみよう",[389],{"type":29,"value":390},"🛠 ワークショップ（実際に試してみよう！）",{"type":24,"tag":25,"props":392,"children":393},{},[394,396,401,403,406],{"type":29,"value":395},"下の【課題】に対して、今回学んだ**「ペルソナ指定」",{"type":24,"tag":102,"props":397,"children":398},{},[399],{"type":29,"value":400},"と",{"type":29,"value":402},"「CoT（ステップバイステップ思考）」**を組み合わせてAIに指示を出してみましょう！",{"type":24,"tag":36,"props":404,"children":405},{},[],{"type":29,"value":407},"\nGeminiでもChatGPTでも可能です。1行で出した指示と以下のテンプレートを使って出した指示の出来を比べてみてください。",{"type":24,"tag":289,"props":409,"children":411},{"id":410},"課題",[412],{"type":29,"value":413},"【課題】",{"type":24,"tag":25,"props":415,"children":416},{},[417],{"type":29,"value":418},"あなたはカフェの店長です。「若者向けの新しい夏限定ドリンク」のアイデアを3つ考えてもらいたいです。",{"type":24,"tag":289,"props":420,"children":422},{"id":421},"️-ワーク用テンプレート自由に使ってみてね",[423],{"type":29,"value":424},"✍️ ワーク用テンプレート（自由に使ってみてね！）",{"type":24,"tag":296,"props":426,"children":430},{"code":427,"language":29,"meta":8,"className":428},"【役割】\nあなたは[ ここにペルソナを記入 ]です。\n\n【目的】\n若年層向けの夏限定ドリンクの企画アイデアを3つ提案してください。\n\n【思考プロセス】\n以下のステップに従って、順を追って段階的に考えてください。\nステップ1：現在の若者のトレンドや人気の味・見映えの傾向を整理する\nステップ2：そのトレンドを踏まえたドリンク案を3つ出す\nステップ3：それぞれのドリンクの「映えポイント」と「味の特徴」を解説する\n\n【出力形式】\nわかりやすく箇条書きで出力してください。\n",[429],"language-text",[431],{"type":24,"tag":61,"props":432,"children":433},{"__ignoreMap":8},[434],{"type":29,"value":427},{"title":8,"searchDepth":436,"depth":436,"links":437},4,[438,444,448,455],{"id":44,"depth":439,"text":47,"children":440},2,[441,443],{"id":51,"depth":442,"text":54},3,{"id":79,"depth":442,"text":82},{"id":154,"depth":439,"text":157,"children":445},[446,447],{"id":170,"depth":442,"text":170},{"id":180,"depth":442,"text":183},{"id":233,"depth":439,"text":236,"children":449},[450,451],{"id":254,"depth":442,"text":254},{"id":285,"depth":442,"text":285,"children":452},[453,454],{"id":291,"depth":436,"text":294},{"id":315,"depth":436,"text":318},{"id":334,"depth":439,"text":337,"children":456},[457,458],{"id":340,"depth":442,"text":340},{"id":387,"depth":442,"text":390,"children":459},[460,461],{"id":410,"depth":436,"text":413},{"id":421,"depth":436,"text":424},"markdown","content:post:2026-08-04.md","content","post\u002F2026-08-04.md","post\u002F2026-08-04","md",[469,471,472,474,476,478,480,482,484,486,488,490,492,494,497,499,501,503,505,507,509,511,513,515,517,519,521,523,525,527,529,531,533,535,537],{"tag":15,"count":470},5,{"tag":16,"count":436},{"tag":473,"count":442},"エディタ",{"tag":475,"count":442},"旧ブログ",{"tag":477,"count":442},"Nuxt",{"tag":479,"count":439},"WordPress",{"tag":481,"count":439},"CMS",{"tag":483,"count":439},"Sony",{"tag":485,"count":439},"グルメ",{"tag":487,"count":439},"TWS",{"tag":489,"count":439},"Ape",{"tag":491,"count":439},"iPad",{"tag":493,"count":439},"買ってよかったもの",{"tag":495,"count":496},"PC",1,{"tag":498,"count":496},"Windows",{"tag":500,"count":496},"Radeon",{"tag":502,"count":496},"Android",{"tag":504,"count":496},"Xperia",{"tag":506,"count":496},"スマホ",{"tag":508,"count":496},"Audio-Technica",{"tag":510,"count":496},"YAMAHA",{"tag":512,"count":496},"radius",{"tag":514,"count":496},"Noble Audio",{"tag":516,"count":496},"FALCON2",{"tag":518,"count":496},"レシピ",{"tag":520,"count":496},"ソーラー",{"tag":522,"count":496},"妄想シリーズ",{"tag":524,"count":496},"3Dプリンター",{"tag":526,"count":496},"ルーター",{"tag":528,"count":496},"OpenWrt",{"tag":530,"count":496},"Proxmox",{"tag":532,"count":496},"AWS",{"tag":534,"count":496},"Bedrock",{"tag":536,"count":496},"Python",{"tag":538,"count":496},"VSCode",[540,542,545,547,549,550,552],{"category":13,"count":541},10,{"category":543,"count":544},"ものづくり・DIY",6,{"category":546,"count":436},"ガジェット・オーディオ",{"category":548,"count":436},"ライフスタイル・雑記",{"category":12,"count":436},{"category":551,"count":439},"クルマ・バイク",{"category":553,"count":496},"インフラ・NW",1786005654864]