Prompt Engineering for LLM. The Art of Building Applications Based on Large Language Models

Prompt Engineering for LLM. The Art of Building Applications Based on Large Language Models

Large Language Models (LLM) are radically changing the world, promising automation of various tasks and solving complex problems. Next-generation software applications use these models as building blocks to create new opportunities in virtually every field, but to take advantage of... these opportunities, skills are needed. This book will discuss the science and art of prompt engineering, and this knowledge will help you unlock the true potential of LLM.
Experienced experts John Berryman and Albert Zigler will share techniques for effective interaction with AI and explain how to present your ideas in a format suitable for the language model. By mastering the philosophical foundations and practical techniques, you will gain the knowledge and confidence necessary to create next-generation applications based on LLM.

Author: Альберт Циглер, Джон Берриман

Printhouse: piter

Series: O'Reilly Bestsellers

Age restrictions: 16+

Year of publication: 2025

ISBN: 9786011234733

Number of pages: 288

Size: 233х165х15 mm

Cover type: soft

Weight: 468 g

ID: 1722579

Large Language Models (LLM) are radically changing the world, promising automation of various tasks and solving complex problems. Next-generation software applications use these models as building blocks to create new opportunities in virtually every field, but to take advantage of these opportunities, skills are needed. This book will discuss the science and art of prompt engineering, and this knowledge will help you unlock the true potential of LLM.
Experienced experts John Berryman and Albert Zigler will share techniques for effective interaction with AI and explain how to present your ideas in a format suitable for the language model. By mastering the philosophical foundations and practical techniques, you will gain the knowledge and confidence necessary to create next-generation applications based on LLM.