Название: Introduction to Generative AI: An Ethical, Societal, and Legal Overview (Final Release) Автор: Numa Dhamani, Maggie Engler Издательство: Manning Publications Год: 2024 Страниц: 336 Язык: английский Формат: epub (true) Размер: 10.1 MB
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) work How to integrate generative AI into your personal and professional workflows Balancing innovation and responsibility The social, legal, and policy landscape around generative AI Societal impacts of generative AI Where 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.
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 work Integrate Generative AI into your daily work Balance innovation and responsibility
Who should read this book This book is written for anyone who has an interest in generative AI technology and wants to understand how to be a responsible participant in this area of innovation. While basic exposure to Machine Learning and natural language processing (NLP) concepts is helpful, it’s not required. There is no code or math in this book—it’s designed to be an accessible resource for those who want to gain intuition into the risks and promises of LLMs, and the broader societal, economic, and legal contexts in which these systems operate. While this book doesn’t do a deep dive into the development and deployment of LLMs, Manning has several other more technical books on this subject you can check out.
We are hopeful that this book will not only be a resource for Machine Learning professionals but also for the general public. We can all play a role in mitigating risks from generative models while benefiting from and enjoying technological progress.
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