July 2025
Intermediate to advanced
484 pages
8h 8m
Japanese
book
生成AIのプロンプトエンジニアリング ―信頼できる生成AIの出力を得るための普遍的な入力の原則
by James Phoenix, Mike Taylor, 田村 広平, 大野 真一朗, 砂長谷 健, 土井 健, 大貫 峻平, 石山 将成
Overview
生成AIの活用が進む中で注目される、プロンプトエンジニアリングの包括的な解説書。精度が高く望ましい出力を生成AIから引き出すためにどうすべきか、GPT-3以降の知見をもとに、LLMや画像生成モデルに共通する原則と実践手法を体系化しています。原則の解説はもとより、ハルシネーション対策や出力の安定化、評価の視点など、現場で役立つ実践的な内容を多数収録。生成AIのツール群を使いこなす際に押さえるべき知識を広くカバーしています。Jupyter NotebookやGoogle Colab上で実際にサンプルコードを動かしながら学び進めることができ、最終章では、それまで学んだ知識をもとに実際に生成AIを活用したアプリケーションを構築します。
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