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E-raamat: Introduction to Generative AI, Second Edition: Reliable, responsible, and real-world applications

  • Formaat: EPUB+DRM
  • Ilmumisaeg: 13-Jan-2026
  • Kirjastus: Manning Publications
  • Keel: eng
  • ISBN-13: 9781638357766
  • Formaat - EPUB+DRM
  • Hind: 49,29 €*
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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 13-Jan-2026
  • Kirjastus: Manning Publications
  • Keel: eng
  • ISBN-13: 9781638357766

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Get up to speed quickly with generative AI!

AI tools like ChatGPT and Gemini, automated coding tools like Cursor and Copilot, and countless LLM-powered agents have become a part of daily life. They’ve also spawned a storm of misinformation, hype, and doomsaying that makes it tough to understand exactly what Generative AI actually is and what it can really do. Introduction to Generative AI, Second Edition delivers a clearly-written survey of generative AI fundamentals along with the techniques and strategies you need to use AI safely and effectively.

In this easy-to-read introduction, you’ll learn:

 • How large language models (LLMs) work
 • How to apply AI across personal and professional work
 • The social, legal, and policy landscape around generative AI
 • Emerging trends like reasoning models and vibe coding

Introduction to Generative AI, Second Edition guides you from your first eye-opening interaction with tools like ChatGPT to how AI tools can transform your personal and professional life safely and responsibly. This second edition has been completely revised to reflect the latest developments in the field—from the latest innovations in prompt engineering and AI agents to fresh coverage of multimodal training, reasoning models, no-code tools, retrieval-augmented generation (RAG), and more.

About the book

Introduction to Generative AI, Second Edition is an up-to-date guide to the capabilities, risks, and limitations of tools like ChatGPT, Gemini, and Claude. This easy-to-follow guide moves quickly through the basics, giving you the skills and understanding to use AI with confidence. Along the way, you’ll explore how AI is impacting even established industries, with an expert-level look at global investment in AI, AI education policy, AI’s economic impact, and the ongoing legal and ethical issues of AI usage.

About the reader

For anyone interested in generative AI. No technical experience required.

About the author

Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models.

Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.

Arvustused

Essential for anyone eager to understand or work with this transformative technology. 

Ron Green, Co-Founder & CTO, KUNGFU.AI 





Become an active participant in the conversation on the societal implications of generative AI. A must read! 

Edgar Markevicius, Meta 





Clear and compelling. I highly recommend this book to anyone interested in generative AI and its impact on the world. 

Kenneth R. Fleischmann, Founding Chair of Good Systems: Ethical AI at UT Austin

1 LARGE LANGUAGE MODELS: THE POWER OF AI 

2 TRAINING LARGE LANGUAGE MODELS

3 DATA PRIVACY AND SAFETY WITH LLMS 

4 THE EVOLUTION OF CREATED CONTENT 

5 MISUSE AND ADVERSARIAL ATTACKS 

6 ACCELERATING PRODUCTIVITY: MACHINE-AUGMENTED WORK 

7 MAKING SOCIAL CONNECTIONS WITH CHATBOTS 

8 WHAT'S NEXT FOR AI AND LLMS 

9 BROADENING THE HORIZON: EXPLORATORY TOPICS IN AI 

APPENDIXES 

APPENDIX A: REFERENCES
Numa Dhamani is a natural-language-processing researcher known for translating complex language science into actionable insight. With years at the intersection of technology and society, Numa brings clarity, curiosity, and social awareness to every page. She distills her expertise into practical guidance that empowers readers to explore AI responsibly. 





Maggie Engler is an engineer and safety researcher working on large language models at a pioneering AI lab. With deep experience in measuring harms and building safeguards, Maggie offers balanced, evidence-based advice wrapped in an empathetic voice. She turns cutting-edge research into usable frameworks that help readers champion trustworthy AI systems.