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. …mehr
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.
Artikelnr. des Verlages: 89576774, 978-3-658-49217-5
Seitenzahl: 135
Erscheinungstermin: 25. September 2025
Englisch
Abmessung: 210mm x 148mm
ISBN-13: 9783658492175
ISBN-10: 3658492171
Artikelnr.: 74864733
Herstellerkennzeichnung
Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
ProductSafety@springernature.com
Autorenporträt
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.
Inhaltsangabe
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.
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.
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