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The Essential Guide to Prompt Engineering : Key Principles, Techniques, Challenges, and Security Risks / / by Vladimir Geroimenko



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Autore: Geroimenko Vladimir Visualizza persona
Titolo: The Essential Guide to Prompt Engineering : Key Principles, Techniques, Challenges, and Security Risks / / by Vladimir Geroimenko Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (XVI, 126 p. 1 illus.)
Disciplina: 006.3
Soggetto topico: Artificial intelligence
User interfaces (Computer systems)
Human-computer interaction
Artificial Intelligence
User Interfaces and Human Computer Interaction
Nota di contenuto: Preface -- Key Concepts in Prompt Engineering -- Key Principles of Good Prompt Design -- Key Techniques for Writing Effective Prompts -- Key Challenges in Prompt Engineering -- Key Security Risks in Prompt Emgineering -- Key Tools and Resources -- Concluding Remarks.
Sommario/riassunto: This book provides a concise yet comprehensive guide to mastering the entire spectrum of prompt engineering, from fundamental concepts to pro-level techniques and essential security considerations. Filled with practical examples and detailed explanations, it delivers actionable knowledge that can be directly applied to AI projects. The guide includes dedicated chapters on key challenges and security issues, equipping readers to overcome significant obstacles they may encounter. It outlines a clear pathway to the art and science of prompt engineering, offering the tools and insights for a successful journey into the rapidly evolving world of generative AI. With its holistic approach and coherent structure, this book is an indispensable resource for AI developers, professionals in related fields, enthusiasts, graduate and undergraduate students, and anyone keen to enhance the efficiency of their interactions with AI models.
Titolo autorizzato: The Essential Guide to Prompt Engineering  Visualizza cluster
ISBN: 9783031862069
3031862066
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910987689703321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Computer Science, . 2191-5776