Introduction to Generative AI discusses generative AI models at a high level, with an emphasis on large language models (LLMs). The book illustrates how LLMs could live up to their potential while building awareness of the limitations of these models. It also discusses the broader economic, legal, and ethical issues that surround them, as well as recommendations for responsible development and use, and paths forward.

The book is written for anyone who has an interest in generative AI models. It aims to build an intuition into the technical pitfalls that are inherent to LLMs and discusses how generative AI models can exacerbate societal issues. These are sociotechnical challenges that require a whole-of-society response, and we hope that this book can make a diverse set of concepts accessible to a wide range of individuals.

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  • Introduction to Generative AI is an indispensable guide to the rapidly evolving world of Generative AI. Covering foundational principles, practical applications, as well as vital ethical and legal considerations, this comprehensive overview is essential reading for anyone eager to understand or work with this transformative technology.

    Ron Green, Co-Founder & CTO of KUNGFU.AI

  • As AI plays an increasingly important role in society, there is a vital need to achieve greater AI literacy across society. Introduction to Generative AI is a wonderful resource for anyone who is interested in learning more about generative AI and its broader historical and societal context. Engler and Dhamani do an excellent job of breaking down both the technical inner workings and the societal implications of generative AI in a straightforward and easy-to-understand manner. They provide clear and compelling examples of both the limitations of generative AI and how it can and must be improved. I highly recommend this book to anyone who is interested in learning more about generative AI and its impacts on the world.

    Kenneth R. Fleischmann, Professor in the School of Information at the University of Texas at Austin and Founding Chair of Good Systems: Ethical AI at UT Austin

  • This book is a perfect introduction to the emerging field of Generative AI and to all the promise and peril it portends. I can think of no defter guides to the technology and its implications than Maggie and Numa.

    Dr. Daniel Rogers, Co-Founder, The Global Disinformation Index

  • Staying informed on the societal implications of generative AI is crucial. This book provides a comprehensive overview of the potential benefits and risks, as well as ethical considerations. It’s a must-read for anyone looking to expand their knowledge and become an active participant in the conversation.

    Edgar Markevicius, Security Engineering Manager at Meta