Prompt Engineering in the Enterprise - An Introduction - Competitive Advantages through Generative AI and Large Language Models

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.

Inhaltsverzeichnis

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.

Über den Autor / die Autorin

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.

Zusammenfassung

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.

Produktdetails

• Autoren: Nils Brechbühler, Daniel Koch, Andreas Kohne
• Verlag: Springer, Berlin
• Originaltitel: Prompt Engineering im Unternehmen - eine Einführung
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 25.09.2025
• EAN: 9783658492175
• ISBN: 978-3-658-49217-5
• Seiten: 124
• Abmessung: 148 mm x 7 mm x 210 mm
• Gewicht: 225 g
• Illustration: XXII, 124 p. 4 illus., 3 illus. in color.
• Themen: Sozialwissenschaften, Recht,Wirtschaft > Wirtschaft > Management; Marketing, Marketing und Vertrieb, Business and Management, LLM Large Language Models, R-T-F , T-A-G, B-A-B, C-A-R-E, R-I-S-E, Prompt Engineering Frameworks, Chain of thought Prompting, Cognitive Verifier Pattern Prompting, Techniques of Prompt Engineering, Artificial Intelligence and Prompting, Better Results with ChatGPT, Prompting in the Company, Self-Consistency Prompting, Tokens and Context, Linguistic Formulation of Prompts