The Prompt Engineering Handbook
Language: English
Published by Independently Published, 2025
- Softcover
- New




Seller: Rarewaves USA United, HEBRON, KY, U.S.A.Rarewaves USA United
AbeBooks seller since June 20, 2025
Condition: New
US$ 26.37
Quantity: Over 20 available
Add to basketSeller Inventory # LU-9798311638920
- Title
- The Prompt Engineering Handbook
- Author
- Nathan G Rainey
- Publisher
- Independently Published
- Publication year
- 2025
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798311638920
- Item weight
- 386 grams
- Dimensions
- 17.78 x 1.24 x 25.4 cm
Unleash the full power of Large Language Models (LLMs) and build truly intelligent applications with "The Prompt Engineering Handbook." This comprehensive guide is your developer-focused key to crafting prompts that deliver exceptional results.
This handbook cuts through the hype and provides practical, hands-on guidance for integrating LLMs into your projects. You'll learn the core principles of effective prompting, explore advanced techniques like chain-of-thought reasoning and multimodal interaction, and discover how to optimize your prompts for specific tasks. With clear code examples and real-world use cases, you'll gain the skills to build AI-powered solutions that solve real business problems across content creation, code generation, data analysis, and beyond.
This book also addresses the critical need for responsible AI development. You'll learn how to mitigate bias, protect against prompt injection attacks, and navigate the ethical considerations that are paramount to the world. Move over ethics, safety, and security, and see your code become successful. It is the complete trifecta!
Inside, you'll discover:
- Actionable Techniques: Master proven methods for crafting prompts that elicit the desired output from LLMs.
- Practical Code Examples: Implement prompt engineering techniques with up-to-date Python code.
- Real-World Applications: Learn how to apply prompt engineering across diverse industries and use cases.
- Bias Mitigation: Build responsible AI systems by actively mitigating bias and promoting fairness in your prompts.
- Future-Proof Skills: Gain a competitive edge by mastering the skillset that will define the next generation of AI development.
"Synopsis" may belong to another edition of this title.
Rarewaves USA United
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AbeBooks seller since June 20, 2025
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