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Prompt Engineering in the Enterprise – An Introduction - Daniel Koch, Andreas Kohne, Nils Brechbühler

Prompt Engineering in the Enterprise – An Introduction

Competitive Advantages through Generative AI and Large Language Models
Buch | Softcover
XXII, 124 Seiten
2025
Springer Fachmedien Wiesbaden GmbH (Verlag)
978-3-658-49217-5 (ISBN)
CHF 97,35 inkl. MwSt

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.

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.

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.

Erscheinungsdatum
Zusatzinfo XXII, 124 p. 4 illus., 3 illus. in color.
Verlagsort Wiesbaden
Sprache englisch
Maße 148 x 210 mm
Themenwelt Wirtschaft Betriebswirtschaft / Management
Schlagworte Artificial Intelligence and Prompting • Better Results with ChatGPT • Chain of Thought Prompting • Cognitive Verifier Pattern Prompting • Linguistic Formulation of Prompts • llm large language models • Prompt Engineering Frameworks • Prompting in Marketing, Sales, Management, HR, Accounting, IT • Prompting in the Company • R-T-F , T-A-G, B-A-B, C-A-R-E, R-I-S-E • Self-Consistency Prompting • Techniques of Prompt Engineering • Tokens and Context
ISBN-10 3-658-49217-1 / 3658492171
ISBN-13 978-3-658-49217-5 / 9783658492175
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
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