國立高雄大學圖資館 |

登入

回首頁

Prompt engineering in the enterprise - an introductioncompetitive advantages through generative AI and large language models /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Prompt engineering in the enterprise - an introductionby Daniel Koch, Andreas Kohne, Nils Brechbühler.
其他題名:	competitive advantages through generative AI and large language models /
作者:	Koch, Daniel.
其他作者:	Kohne, Andreas.
出版者:	Wiesbaden :Springer Fachmedien Wiesbaden :2025.
面頁冊數:	xxii, 124 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligenceBusiness applications.
電子資源:	https://doi.org/10.1007/978-3-658-49218-2
ISBN:	9783658492182$q(electronic bk.)

Prompt engineering in the enterprise - an introductioncompetitive advantages through generative AI and large language models /
Koch, Daniel.

Prompt engineering in the enterprise - an introductioncompetitive advantages through generative AI and large language models /[electronic resource] :by Daniel Koch, Andreas Kohne, Nils Brechbühler. - Wiesbaden :Springer Fachmedien Wiesbaden :2025. - xxii, 124 p. :ill. (some col.), digital ;24 cm.

Fundamentals: Large Language Models and Generative Pre-trained Transformers, Tokens and Context Windows -- Prompt Engineering: Concept, Evaluation, Formulation, Formats -- Frameworks for Prompts: including Prompt Chaining, Role Prompting, R-T-F, T-A-G, B-A-B, C-A-R-E, R-I-S-E -- Advanced Techniques: Zero-, One-, and Few-Shot Prompts, Cognitive Verifier Patterns, Chain-of-Thought Prompts -- Metaprompting: Foundations and Approaches -- AI Agents: Concept, Architectures, Use Cases.

This book provides a step-by-step introduction to the art of prompt engineering - the most essential skill for the efficient use of generative AI. Since the introduction of ChatGPT at the latest, Large Language Models (LLMs) have become ubiquitous. These systems deliver impressive answers to a wide range of questions, draft concepts and texts, translate, program, and handle tasks. However, the true added value in everyday business only unfolds when the questions are asked correctly. This is because the quality of the answers generated by an LLM depends primarily on the quality of the questions. From the Contents Fundamentals: Large Language Models and Generative Pre-trained Transformers, Tokens and Context Windows Prompt Engineering: Concept, Evaluation, Formulation, Formats Frameworks for Prompts: including Prompt Chaining, Role Prompting, R-T-F, T-A-G, B-A-B, C-A-R-E, R-I-S-E Advanced Techniques: Zero-, One-, and Few-Shot Prompts, Cognitive Verifier Patterns, Chain-of-Thought Prompts The Authors Daniel Koch, Dr. Andreas Kohne and Nils Brechbühler are managing directors of Valisory GmbH, a consulting firm that supports its clients on the path of digital transformation. Currently, they advise public sector clients as well as private enterprises in the field of artificial intelligence. In addition, they are active as university lecturers. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

ISBN: 9783658492182$q(electronic bk.)

Standard No.: 10.1007/978-3-658-49218-2doiSubjects--Topical Terms:

996997
Artificial intelligence
--Business applications.

LC Class. No.: HF5548.2

Dewey Class. No.: 658.0563

Prompt engineering in the enterprise - an introductioncompetitive advantages through generative AI and large language models /
LDR:03484nmm a2200337 a 4500 001 686278
003 DE-He213
005 20250824130151.0
006 m d
007 cr nn 008maaau
008 260213s2025 gw s 0 eng d
020 $a 9783658492182$q(electronic bk.)
020 $a 9783658492175$q(paper)
024 7 $a 10.1007/978-3-658-49218-2 $2 doi
035 $a 978-3-658-49218-2
040 $a GP $c GP
041 1 $a eng $h ger
050 4 $a HF5548.2
072 7 $a KJ $2 bicssc
072 7 $a BUS042000 $2 bisacsh
072 7 $a KJ $2 thema
082 0 4 $a 658.0563 $2 23
090 $a HF5548.2 $b .K76 2025
100 1 $a Koch, Daniel. $3 1000419
240 1 0 $a Prompt Engineering im Unternehmen--eine Einführung. $l English
245 1 0 $a Prompt engineering in the enterprise - an introduction $h [electronic resource] : $b competitive advantages through generative AI and large language models / $c by Daniel Koch, Andreas Kohne, Nils Brechbühler.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer, $c 2025.
300 $a xxii, 124 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Fundamentals: Large Language Models and Generative Pre-trained Transformers, Tokens and Context Windows -- Prompt Engineering: Concept, Evaluation, Formulation, Formats -- Frameworks for Prompts: including Prompt Chaining, Role Prompting, R-T-F, T-A-G, B-A-B, C-A-R-E, R-I-S-E -- Advanced Techniques: Zero-, One-, and Few-Shot Prompts, Cognitive Verifier Patterns, Chain-of-Thought Prompts -- Metaprompting: Foundations and Approaches -- AI Agents: Concept, Architectures, Use Cases.
520 $a This book provides a step-by-step introduction to the art of prompt engineering - the most essential skill for the efficient use of generative AI. Since the introduction of ChatGPT at the latest, Large Language Models (LLMs) have become ubiquitous. These systems deliver impressive answers to a wide range of questions, draft concepts and texts, translate, program, and handle tasks. However, the true added value in everyday business only unfolds when the questions are asked correctly. This is because the quality of the answers generated by an LLM depends primarily on the quality of the questions. From the Contents Fundamentals: Large Language Models and Generative Pre-trained Transformers, Tokens and Context Windows Prompt Engineering: Concept, Evaluation, Formulation, Formats Frameworks for Prompts: including Prompt Chaining, Role Prompting, R-T-F, T-A-G, B-A-B, C-A-R-E, R-I-S-E Advanced Techniques: Zero-, One-, and Few-Shot Prompts, Cognitive Verifier Patterns, Chain-of-Thought Prompts The Authors Daniel Koch, Dr. Andreas Kohne and Nils Brechbühler are managing directors of Valisory GmbH, a consulting firm that supports its clients on the path of digital transformation. Currently, they advise public sector clients as well as private enterprises in the field of artificial intelligence. In addition, they are active as university lecturers. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.
650 0 $a Artificial intelligence $x Business applications. $3 996997
650 1 4 $a Business and Management. $2 eflch $3 639169
650 2 4 $a Marketing. $3 182957
700 1 $a Kohne, Andreas. $3 833585
700 1 $a Brechbühler, Nils. $3 1000420
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-658-49218-2
950 $a Business and Management (SpringerNature-41169)