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Introduction to Generative AI, Second Edition: Reliable, responsible, and real-world applications - Softcover
Synopsis
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.
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. This book delivers a clear, well-written survey of generative AI fundamentals along with the techniques and strategies you need to use AI safely and effectively.
It 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. AI moves fast—and so this second edition has been completely revised to reflect the latest developments in the field.
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
About the technology
Generative AI tools like ChatGPT, Gemini, and Claude can draft emails, generate marketing copy, and prototype product designs. They can also produce poetry, realistic images or videos, and even generate computer code. But how do they do all that? This accessible book reveals how generative AI works in plain, jargon-free language, so you can use it safely and effectively.
About the book
Introduction to Generative AI, Second Edition is a completely revised and updated guide to the capabilities, risks, and limitations of generative AI. You’ll understand the latest innovations in AI, AI agents, multimodal training, reasoning models, retrieval-augmented generation (RAG), and more. Along the way, you’ll explore how AI is impacting the world, with an expert-level look at AI in industry, education, and society.
What's inside
- How AI and foundation models work
- Applications across daily life and work
- Balancing innovation with responsibility
About the reader
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 a researcher and engineer working on safety for generative AI systems.
Table of Contents
1 Large language models: The foundation of generative AI
2 Training large language models: Learning at scale
3 Data privacy and safety: Technical and legal controls
4 AI and the creative economy: Innovation and intellectual property
5 Misuse and adversarial attacks: Challenges and responsible testing
6 Machine-augmented work: Productivity, education, and economy
7 Prompt engineering: Strategies for guiding and evaluating LLMs
8 AI agents: The rise of autonomous AI systems
9 Human connections: The social role of chatbots
10 The future of responsible AI: Risks, practices, and policy
11 Frontiers of AI: Open questions and global trends
"synopsis" may belong to another edition of this title.
About the Author
Numa Dhamani is a natural language processing expert with domain expertise in information warfare, security, and privacy. She has developed machine learning systems for Fortune 500 companies and social media platforms, as well as for startups and nonprofits. Numa has advised companies and organizations, served as the Principal Investigator on the United States Department of Defense’s research programs, and contributed to multiple international peer-reviewed journals.
Maggie Engler is an engineer and researcher currently working on safety for large language models. She focuses on applying data science and machine learning to abuses in the online ecosystem, and is a domain expert in cybersecurity and trust and safety. Maggie is also an adjunct instructor at the University of Texas at Austin School of Information.
"About this title" may belong to another edition of this title.
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Introduction to Generative AI, Second Edition: Reliable, responsible, and real-world applications
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Introduction to Generative AI, Second Edition
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ISBN 10: 1633434885
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Hardback. Condition: New. ChatGPT feels magical, yet its limits and risks stay frustratingly unclear. News headlines hype breakthroughs while warnings shout about existential disaster. You need clarity, not fear, to decide how AI fits your world. This book hands you the plain language blueprint behind every generative AI headline. Understand what models do, why they fail, and where they create value. Move from confused spectator to informed, responsible participant in the AI revolution. Core concepts demystified: Grasp LLM architecture, training, and prompting without needing coding experience. Real-world case studies: See how businesses, education, and creativity already extract measurable AI value. Risk and ethics primer: Navigate privacy, bias, and regulation to implement AI responsibly. Practical toolkits: Apply step-by-step checklists for evaluating, testing, and integrating generative systems. Foresight on trends: Anticipate reasoning models and vibe coding to future-proof your strategy. Accessible format: Short chapters, visuals, and summaries enable quick learning and reference on demand. Introduction to Generative AI, Second Edition by NLP expert Numa Dhamani and LLM safety researcher Maggie Engler delivers a timely, hype-free field guide. You start with the simplest question, what is generative AI, then build to policy and economic impacts. Clear diagrams, chapter checklists, and myth-busting sidebars keep learning engaging and grounded in reality. Finish with the confidence to explore ChatGPT prompts, evaluate vendor claims, and brief stakeholders on risks. You will know when to trust AI, when to question it, and how to progress responsibly. Perfect for managers, educators, students, and curious professionals seeking a practical, nontechnical AI starting point. Seller Inventory # LU-9781633434882
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Introduction to Generative AI, Second Edition (Hardcover)
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ISBN 10: 1633434885
ISBN 13: 9781633434882
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Hardcover. Condition: new. Hardcover. ChatGPT feels magical, yet its limits and risks stay frustratingly unclear. News headlines hype breakthroughs while warnings shout about existential disaster. You need clarity, not fear, to decide how AI fits your world. This book hands you the plain language blueprint behind every generative AI headline. Understand what models do, why they fail, and where they create value. Move from confused spectator to informed, responsible participant in the AI revolution. Core concepts demystified: Grasp LLM architecture, training, and prompting without needing coding experience. Real-world case studies: See how businesses, education, and creativity already extract measurable AI value. Risk and ethics primer: Navigate privacy, bias, and regulation to implement AI responsibly. Practical toolkits: Apply step-by-step checklists for evaluating, testing, and integrating generative systems. Foresight on trends: Anticipate reasoning models and vibe coding to future-proof your strategy. Accessible format: Short chapters, visuals, and summaries enable quick learning and reference on demand. Introduction to Generative AI, Second Edition by NLP expert Numa Dhamani and LLM safety researcher Maggie Engler delivers a timely, hype-free field guide. You start with the simplest question, what is generative AI, then build to policy and economic impacts. Clear diagrams, chapter checklists, and myth-busting sidebars keep learning engaging and grounded in reality. Finish with the confidence to explore ChatGPT prompts, evaluate vendor claims, and brief stakeholders on risks. You will know when to trust AI, when to question it, and how to progress responsibly. Perfect for managers, educators, students, and curious professionals seeking a practical, nontechnical AI starting point. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781633434882
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