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.
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 work
- Integrate Generative AI into your daily work
- Balance 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 processing
2 Training large language models
3 Data privacy and safety with LLMs
4 The evolution of created content
5 Misuse and adversarial attacks
6 Accelerating productivity: Machine-augmented work
7 Making social connections with chatbots
8 What’s next for AI and LLMs
9 Broadening the horizon: Exploratory topics in AI
DB –
Generative AI is an exploding field, but with all the hype, chatter and fear mongering around the subject, it can be hard to understand. This book is extremely well written and does a fantastic job of introducing the topic from a balanced perspective, explaining both the exciting potential and ethically challenging aspects of this technology. The authors do a great job providing a gentle introduction to the topic while also covering topics that are applicable and relevant for technical practitioners. As such, I would highly recommend this book to experts and novices alike!
LS –
This is a great introductory guide for anyone interested in Generative AI. The authors did a great job of giving a holistic overview that is accessible to non-technical audiences. A friend of mine who is a Machine Learning Engineer also learned how to better communicate technical concepts from this book – so it is helpful for those who have a technical background as well. Highly recommend!
Calvin Austin –
There are many new books on AI and the exciting world of Generative AI. Unless you are actively working in the AI field or have time to research it the terms and technology involved can be overwhelmingThis book takes frequent looks into recent history in the AI field and plots to where the industry is currently is at. There are real life examples of the benefits of Generative AI but also documents genuine issues and the technological problems of believing everything ChatGPT tells you. There are sections on ethics, abuse and legal issues, from copyright to data privacy although chapter 8 (risks) was a lot of duplicated material from earlier chapters.I would recommend this book for technical leadership and non-technical management. Although it covers the high level workflows of LLMs and synthetic media the book holds off stepping into the actual mathematics which are not that complex and can be explained by a diagram or you can even ask ChatGPT to explain them to you!