{"product_id":"introduction-to-generative-ai-paperback","title":"Introduction to Generative AI - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eNuma Dhamani\u003c\/b\u003e (Author), \u003cb\u003eMaggie Engler\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGenerative AI tools like ChatGPT are amazing--but how will their use impact our society? This book introduces the world-transforming technology and the strategies you need to use generative AI safely and effectively.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003ci\u003eIntroduction to Generative AI\u003c\/i\u003e gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you'll learn: \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eHow large language models (LLMs) work\u003c\/li\u003e \u003cli\u003eHow to integrate generative AI into your personal and professional workflows\u003c\/li\u003e \u003cli\u003eBalancing innovation and responsibility\u003c\/li\u003e \u003cli\u003eThe social, legal, and policy landscape around generative AI\u003c\/li\u003e \u003cli\u003eSocietal impacts of generative AI\u003c\/li\u003e \u003cli\u003eWhere AI is going\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003eAnyone who uses ChatGPT for even a few minutes can tell that it's truly different from other chatbots or question-and-answer tools. \u003ci\u003eIntroduction to Generative AI\u003c\/i\u003e guides you from that first eye-opening interaction to how these powerful tools can transform your personal and professional life. In it, you'll get no-nonsense guidance on generative AI fundamentals to help you understand what these models are (and aren't) capable of, and how you can use them to your greatest advantage. \u003cp\u003e\u003c\/p\u003e Foreword by Sahar Massachi. \u003cp\u003e\u003c\/p\u003e Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e Generative AI tools like ChatGPT, Bing, and Bard have permanently transformed the way we work, learn, and communicate. This delightful book shows you exactly how Generative AI works in plain, jargon-free English, along with the insights you'll need to use it safely and effectively. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003eIntroduction to Generative AI\u003c\/i\u003e guides you through benefits, risks, and limitations of Generative AI technology. You'll discover how AI models learn and think, explore best practices for creating text and graphics, and consider the impact of AI on society, the economy, and the law. Along the way, you'll practice strategies for getting accurate responses and even understand how to handle misuse and security threats. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eHow large language models work\u003c\/li\u003e \u003cli\u003eIntegrate Generative AI into your daily work\u003c\/li\u003e \u003cli\u003eBalance innovation and responsibility\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003c\/p\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For anyone interested in Generative AI. No technical experience required. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cb\u003eNuma Dhamani\u003c\/b\u003e is a natural language processing expert working at the intersection of technology and society. \u003cb\u003eMaggie Engler\u003c\/b\u003e is an engineer and researcher currently working on safety for large language models. \u003cp\u003e\u003c\/p\u003eThe technical editor on this book was \u003cb\u003eMaris Sekar\u003c\/b\u003e. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e 1 Large language models: The power of AI Evolution of natural language processing\u003cbr\u003e 2 Training large language models\u003cbr\u003e 3 Data privacy and safety with LLMs\u003cbr\u003e 4 The evolution of created content\u003cbr\u003e 5 Misuse and adversarial attacks\u003cbr\u003e 6 Accelerating productivity: Machine-augmented work\u003cbr\u003e 7 Making social connections with chatbots\u003cbr\u003e 8 What's next for AI and LLMs\u003cbr\u003e 9 Broadening the horizon: Exploratory topics in AI\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFrom the Back Cover: \u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eIn Introduction to Generative AI: An ethical, societal, and legal overview, AI engineers Numa Dhamani and Maggie Engler reveal both the power and limitations of AI tools and explore their impact on society, the economy, and the law. Our expert authors share best practices for responsibly using LLMs, drawing on years of experience in machine learning, data security, and ethical AI. You'll learn strategies for getting accurate and useful responses, techniques for integrating generative AI in your workflow, and even how to handle misuse and adversarial attacks.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAbout the reader: \u003c\/strong\u003e\u003c\/p\u003e \u003cp\u003eFor anyone interested in generative AI.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eNuma Dhamani\u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eMaggie Engler\u003c\/b\u003e 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.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 336\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.8 x 9.2 x 7.4 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 27, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":54094319092019,"sku":"9781633437197","price":78.98,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/eo03ixq2zc9781633437197.webp?v=1789634771","url":"https:\/\/www.vysn.com\/products\/introduction-to-generative-ai-paperback","provider":"VYSN","version":"1.0","type":"link"}