Design and use generative AI prompts that get helpful and practical results in this concise and quick start guide.

In The Quick Guide to Prompt Engineering, renowned technology futurist and AI thought leader Ian Khan delivers a practical and insightful resource for taking the first steps in understanding and learning how to use generative AI. You will learn how to design and use prompts to get the most out of Large Language Model generative AI applications like ChatGPT, DALL-E, Google’s Bard, and explore how to understand generative artificial intelligence and how to engineer prompts in a wide variety of industry use cases. You’ll also find illuminating case studies and hands-on exercises, as well as step-by-step guides, to get you up to speed on prompt engineering in no time at all. The book has been written for the non-technical user to take the first steps in the world of generative AI.

Along with a helpful glossary of common terms, lists of useful additional reading and resources, and other resources, you’ll get: 

• Explanations of the basics of generative artificial intelligence that help you to learn what’s going on under the hood of ChatGPT and other LLMs 
• Stepwise guides to creating effective, efficient, and ethical prompts that help you get the most utility possible from these exciting new tools 
• Strategies for generating text, images, video, voice, music, and other audio from various publicly available artificial intelligence tools 

Perfect for anyone with an interest in one of the newest and most practical technological advancements recently released to the public, The Quick Guide to Prompt Engineering is a must-read for tech enthusiasts, marketers, content creators, technical professionals, data experts, and anyone else expected to understand and use generative AI at work or at home. No previous experience is required.

From the Inside Flap

Large Language Models and generative AI seemingly took the world by storm in 2023. But their creation was many years in the making, with their technological roots stretching back over a decade to advancements in neural networks and deep learning created in the mid-2010s. And just as in those early days, effective contemporary use of generative artificial intelligence relies heavily on the incisive deployment of prompts.

In The Quick Guide to Prompt Engineering, celebrated futurist, thought leader, and leadership and technology commentator Ian Khan delivers a concise and insightful discussion of how to begin designing and using prompts in a variety of Large Language Models. In the book, you’ll explore how to understand generative artificial intelligence and how to use prompt engineering in various industries. You’ll also find incisive explanations of the future of artificial intelligence, as well as illuminative case studies and hands-on exercises that provide you with a thorough understanding of how to engineer prompts that generate maximal utility. The author also presents a helpful glossary of terms and recommended resources for further learning.

Khan describes the basics of generative artificial intelligence, explaining its origins and the role played by effective prompts (or inputs) into the results generated by the technology. He includes a step-by-step guide to creating effective prompts, explaining why some work so well and others fail to achieve the desired results. The book explains many relevant aspects of the ethics of good prompt engineering, explaining how to avoid some of the most commonly encountered pitfalls and mistakes.

You’ll learn how to generate both images and text from popular Large Language Models including DALL-E and ChatGPT, Midjourney, Google Bard, DeepArt, RunwayML, and more. You’ll even discover how to create AI-generated video with VQ-VAE. Engaging and informative, this book is perfect for anyone with an interest in one of the latest and most useful technological advancements to be publicly deployed.

Table of Contents

1 The Basics of Generative Artificial Intelligence

2 The Role of Prompts in Generative Al

3 A Step-by-Step Guide to Creating Effective Prompts

4 Diving Deeper: Structure and Nuances of Prompts

5 Prompt Engineering across Industry

6 Practical Guide to Prompt Engineering

7 Ethical Considerations in Prompt Engineering

8 Application-Specific Prompt Engineering

9 Advanced Topics in Prompt Engineering

10 Prompt Engineering with OpenAl ChatGPT 11 Exploring Prompts with ChatGPT

12 Getting Creative with DALL-E

13 Text Synthesis with CTRL

14 Learning Languages with T2T (Tensor2Tensor)

15 Building Blocks with BERT

16 Voice Synthesis with Tacotron

17 Transformers in Music with MuseNet

18 Generating Images with BigGAN

19 Creating Code with Codex

20 Generating 3D Art with RunwayML

21 DeepArt and Artistic Prompts

22 Midjourney

23 Google Bard

24 Deepfaking with DeepFaceLab

25 Image Editing with DeepArt Effects

26 Content Generation with AIVA

27 Audio Synthesis with WaveNet

28 Image Classification with ImageNet

29 Video Synthesis with VQ-VAE

30 Your Future in Prompt Engineering

About the Author

IAN KHAN is a prolific Technology Futurist, documentary filmmaker, author, and commentator who has been regularly featured on CNN, Bloomberg, BCC, Fox, and other global media. He’s a recognized thought leader on Foresight, and future leadership with clients that include Fortune 500 companies, Governments and leading professional associations and industry groups.