Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications (Paperback)
暫譯: 大型語言模型應用的提示工程：構建基於大型語言模型的應用藝術與科學（平裝本）

Berryman, John, Ziegler, Albert

Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications (Paperback)

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商品描述

Large language models (LLMs) are revolutionizing the world, promising to automate tasks and solve complex problems. A new generation of software applications are using these models as building blocks to unlock new potential in almost every domain, but reliably accessing these capabilities requires new skills. This book will teach you the art and science of prompt engineering-the key to unlocking the true potential of LLMs.

Industry experts John Berryman and Albert Ziegler share how to communicate effectively with AI, transforming your ideas into a language model-friendly format. By learning both the philosophical foundation and practical techniques, you'll be equipped with the knowledge and confidence to build the next generation of LLM-powered applications.

Understand LLM architecture and learn how to best interact with it Design a complete prompt-crafting strategy for an application Gather, triage, and present context elements to make an efficient prompt Master specific prompt-crafting techniques like few-shot learning, chain-of-thought prompting, and RAG

商品描述(中文翻譯)

大型語言模型（LLMs）正在徹底改變世界，承諾自動化任務並解決複雜問題。新一代的軟體應用程式正在利用這些模型作為基礎，釋放幾乎每個領域的新潛力，但可靠地訪問這些能力需要新的技能。本書將教您提示工程的藝術與科學——解鎖LLMs真正潛力的關鍵。

業界專家John Berryman和Albert Ziegler分享如何與AI有效溝通，將您的想法轉化為適合語言模型的格式。通過學習哲學基礎和實用技術，您將具備知識和信心，打造下一代基於LLM的應用程式。

了解LLM架構並學習如何最佳互動 設計應用程式的完整提示創作策略 收集、篩選並呈現上下文元素以製作高效提示 精通特定的提示創作技術，如少量學習（few-shot learning）、思考鏈提示（chain-of-thought prompting）和檢索增強生成（RAG）

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