LEADER 04077nam 22005775 450 001 9911021966503321 005 20250824130151.0 010 $a3-658-49218-X 024 7 $a10.1007/978-3-658-49218-2 035 $a(MiAaPQ)EBC32270980 035 $a(Au-PeEL)EBL32270980 035 $a(CKB)40416495500041 035 $a(DE-He213)978-3-658-49218-2 035 $a(OCoLC)1534807171 035 $a(EXLCZ)9940416495500041 100 $a20250824d2025 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPrompt Engineering in the Enterprise ? An Introduction $eCompetitive Advantages through Generative AI and Large Language Models /$fby Daniel Koch, Andreas Kohne, Nils Brechbühler 205 $a1st ed. 2025. 210 1$aWiesbaden :$cSpringer Fachmedien Wiesbaden :$cImprint: Springer,$d2025. 215 $a1 online resource (116 pages) 225 1 $aBusiness and Management Series 311 08$a3-658-49217-1 327 $aFundamentals: 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. 330 $aThis book provides a step-by-step introduction to the art of prompt engineering ? the most essential skill for the efficient use of generative AI. Since the introduction of ChatGPT at the latest, Large Language Models (LLMs) have become ubiquitous. These systems deliver impressive answers to a wide range of questions, draft concepts and texts, translate, program, and handle tasks. However, the true added value in everyday business only unfolds when the questions are asked correctly. This is because the quality of the answers generated by an LLM depends primarily on the quality of the questions. From the Contents Fundamentals: Large Language Models and Generative Pre-trained Transformers, Tokens and Context Windows Prompt Engineering: Concept, Evaluation, Formulation, Formats Frameworks for Prompts: including Prompt Chaining, Role Prompting, R-T-F, T-A-G, B-A-B, C-A-R-E, R-I-S-E Advanced Techniques: Zero-, One-, and Few-Shot Prompts, Cognitive Verifier Patterns, Chain-of-Thought Prompts The Authors Daniel Koch, Dr. Andreas Kohne and Nils Brechbühler are managing directors of Valisory GmbH, a consulting firm that supports its clients on the path of digital transformation. Currently, they advise public sector clients as well as private enterprises in the field of artificial intelligence. In addition, they are active as university lecturers. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation. 410 0$aBusiness and Management Series 606 $aBusiness 606 $aManagement science 606 $aMarketing 606 $aBusiness and Management 606 $aMarketing 615 0$aBusiness. 615 0$aManagement science. 615 0$aMarketing. 615 14$aBusiness and Management. 615 24$aMarketing. 676 $a650 700 $aKoch$b Daniel$01845753 701 $aKohne$b Andreas$0766856 701 $aBrechbühler$b Nils$01845754 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911021966503321 996 $aPrompt Engineering in the Enterprise - an Introduction$94429544 997 $aUNINA