Item #:
150112113
LLMのプロンプトエンジニアリング ―GitHub Copilotを生んだ開発者が教える生成AIアプリケーション開発
Item #:
150112113
SAR 145
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Product Details
- LLMのポテンシャルを最大限活かし、期待通りの精度の高いアウトプットを引き出すためには、LLMの能力や特性を正しく評価、把握し、綿密な設計に基づいたプロンプトを組み立てることが必要です。本書では、まずLLMを理解することから始め、その上で、プロンプトにはどんなことを組み込み、どのような構造にすべきか、本来の意味での「プロンプトエンジニアリング」を行う方法を説明しています。著者たちはGitHub Copilotの開発者であり、その実装過程で得られた貴重な知見や、評価手法、設計上の判断など、通常は表に出てこない開発の裏側も詳しく解説されています。AIアプリケーション開発の実際を知りたい開発者はもちろん、生成AIの可能性と限界を理解したいユーザーにとっても、示唆に富む内容となっています。
| Publisher | オライリー・ジャパン |
| Publication date | May 16, 2025 |
| Language | Japanese |
| Print length | 276 pages |
| ISBN-10 | 4814401132 |
| ISBN-13 | 978-4814401130 |
| Item Weight | 450 g |
| Dimensions | 9.45 x 7.48 x 0.79 inches (24 x 19 x 2 cm) |
Product Description
LLMのプロンプトエンジニアリング ―GitHub Copilotを生んだ開発者が教える生成AIアプリケーション開発
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SAR 145
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Features & Benefits
- Learn to maximize LLM capabilities for high-precision outputs.
- Understand LLM characteristics crucial for effective prompt creation.
- Gain insights from GitHub Copilot developers on real-world applications.
- Explore the deep intricacies of LLM design and evaluation techniques.
- Ideal for developers and users seeking to understand AI's possibilities.
- Transform your approach to prompt engineering for superior results.
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