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Prompt engineering for LLMs :the art and science of building large language model-based applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Prompt engineering for LLMs :/ John Berryman and Albert Ziegler.
Reminder of title:	the art and science of building large language model-based applications /
remainder title:	Prompt engineering for large language models
Author:	Berryman, John,
other author:	Ziegler, Albert
Published:	Sebastapol, CA :O'Reilly, : 2025,
[NT 15000922]:	1st ed.
Description:	xiii, 262 p. :ill., charts ; : 24 cm.;
基督教聖經之智慧書導讀 :	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.
Subject:	Artificial intelligence. -
ISBN:	9781098156152 (pbk.) :

Prompt engineering for LLMs :the art and science of building large language model-based applications /
Berryman, John,1980-

Prompt engineering for LLMs :the art and science of building large language model-based applications /Prompt engineering for large language modelsJohn Berryman and Albert Ziegler. - 1st ed. - Sebastapol, CA :O'Reilly,2025 - xiii, 262 p. :ill., charts ;24 cm.

Includes bibliographical references and index.

Introduction to Prompt Engineering --Part 1: Foundations --

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.

ISBN: 9781098156152 (pbk.) :NT2584

LCCN: 2025421125Subjects--Topical Terms:

233060
Artificial intelligence.

LC Class. No.: QA76.9.N38 / B47 2025

Dewey Class. No.: 006.3/5

Prompt engineering for LLMs :the art and science of building large language model-based applications /
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505 0 0 $g Part 1: Foundations -- $t Introduction to Prompt Engineering -- $t Understanding LLMs -- $t Moving to Chat -- $t Designing LLM Applications -- $g Part 2: Core Techniques -- $t Prompt Content -- $t Assembling the Prompt -- $t Taming the Model -- $g Part 3: An Expert of the Craft -- $t Conversational Agency -- $t LLM Workflows -- $t Evaluating LLM Applications -- $t Looking Ahead
520 # $a 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.
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700 1 # $a Ziegler, Albert $c (Software engineer) $3 526955

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