ISBN: 9781633434882 - introduction to generative ai, second edition: reliable, responsible, and real-world applications (29 resultados)

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Hardback. Condición: 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.…

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Hardcover. Condición: 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.…

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Hardback. Condición: 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.…

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Hardcover. Condición: 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Buch. Condición: Neu. Neuware - 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 fieldfrom 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 Elektronisches Buch (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.…
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Hardback. Condición: 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.…
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Hardback. Condición: 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.…

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Hardcover. Condición: 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

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Condición: New. 2026. 2nd Edition. paperback. . . . . . Books ship from the US and Ireland.

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Buch. Condición: Neu. Introduction to Generative AI, Second Edition | Numa Dhamani | Buch | Englisch | 2026 | Manning Publications | EAN 9781633434882 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

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Buch. Condición: Neu. Neuware -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 fieldfrom 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 Elektronisches Buch (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. 480 pp. Englisch.…