Introduction to Generative AI: An Ethical, Societal, and Legal Overview by Numa

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Generative 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. Introduction to Generative AI gives you the hows-and-whys of generative AI in accessible language. In this easy-to-read introduction, you'll learn: How large language models (LLMs) workHow to integrate generative AI into your personal and professional workflowsBalancing innovation and responsibilityThe social, legal, and policy landscape around generative AISocietal impacts of generative AIWhere AI is going Anyone who uses ChatGPT for even a few minutes can tell that it's truly different from other chatbots or question-and-answer tools. Introduction to Generative AI 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. Foreword by Sahar Massachi. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology 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. About the book Introduction to Generative AI 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. What's inside How large language models workIntegrate Generative AI into your daily workBalance innovation and responsibility 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. The technical editor on this book was Maris Sekar. Table of Contents 1 Large language models: The power of AI Evolution of natural language processing2 Training large language models3 Data privacy and safety with LLMs4 The evolution of created content5 Misuse and adversarial attacks6 Accelerating productivity: Machine-augmented work7 Making social connections with chatbots8 What's next for AI and LLMs9 Broadening the horizon: Exploratory topics in AI

FORMATPaperback LANGUAGEEnglish CONDITIONBrand New Author Biography

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.

Details ISBN1633437191 Author Maggie Engler Publisher Manning Publications Year 2024 ISBN-13 9781633437197 Format Paperback Imprint Manning Publications Subtitle An Ethical, Societal, and Legal Overview Audience General Publication Date 2024-02-27 Pages 336 Language English ISBN-10 1633437191 UK Release Date 2024-02-27 We've got this

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