| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910987689703321 |
|
|
Autore |
Geroimenko Vladimir |
|
|
Titolo |
The Essential Guide to Prompt Engineering : Key Principles, Techniques, Challenges, and Security Risks / / by Vladimir Geroimenko |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
|
|
Edizione |
[1st ed. 2025.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XVI, 126 p. 1 illus.) |
|
|
|
|
|
|
Collana |
|
SpringerBriefs in Computer Science, , 2191-5776 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Artificial intelligence |
User interfaces (Computer systems) |
Human-computer interaction |
Artificial Intelligence |
User Interfaces and Human Computer Interaction |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
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. |
|
|
|
|
|
| |