The Quick Guide to Prompt Engineering

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.

Preface xi

Chapter 1 The Basics of Generative Artificial Intelligence 1

Chapter 2 The Role of Prompts in Generative AI 19

Chapter 3 A Step-by-Step Guide to Creating Effective Prompts 33

Chapter 4 Diving Deeper: Structure and Nuances of Prompts 47

Chapter 5 Prompt Engineering across Industry 63

Chapter 6 Practical Guide to Prompt Engineering 83

Chapter 7 Ethical Considerations in Prompt Engineering 103

Chapter 8 Application- Specific Prompt Engineering 123

Chapter 9 Advanced Topics in Prompt Engineering 143

Chapter 10 Prompt Engineering with OpenAI ChatGPT 163

Chapter 11 Exploring Prompts with ChatGPT 177

Chapter 12 Getting Creative with DALL- E 193

Chapter 13 Text Synthesis with CTRL 205

Chapter 14 Learning Languages with T2T (Tensor2Tensor) 217

Chapter 15 Building Blocks with BERT 231

Chapter 16 Voice Synthesis with Tacotron 245

Chapter 17 Transformers in Music with MuseNet 259

Chapter 18 Generating Images with BigGAN 273

Chapter 19 Creating Code with Codex 287

Chapter 20 Generating 3D Art with RunwayML 303

Chapter 21 DeepArt and Artistic Prompts 319

Chapter 22 Midjourney 333

Chapter 23 Google Bard 345

Chapter 24 Deepfaking with DeepFaceLab 357

Chapter 25 Image Editing with DeepArt Effects 373

Chapter 26 Content Generation with AIVA 387

Chapter 27 Audio Synthesis with WaveNet 401

Chapter 28 Image Classification with ImageNet 415

Chapter 29 Video Synthesis with VQ- VAE 429

Chapter 30 Your Future in Prompt Engineering 445

Acknowledgments 461

Ian Khan—The Futurist 463

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.

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.

Design and use effective prompts for use with generative artificial intelligence tools

The Quick Guide to Prompt Engineering is a practical and incisive discussion of how to effectively deploy prompts to generate useful information from large language artificial intelligence models. Author and futurist Ian Khan dives deep into the role that prompts play in making effective use of Large Language Models and offers a step-by-step guide to creating effective prompts. You’ll find hands-on examples of useful prompts in various industries, as well as ethical considerations to keep in mind to help evade some of the most common pitfalls and mistakes when using this technology.

In the book, you’ll explore how to generate text, images, voice, music, and even video, using several different leading Large Language Models, like ChatGPT, DALL-E, CTRL, T2T, BERT, Codex, and more. You’ll discover application-specific prompt engineering concepts that transform the kinds of results you can achieve with generative AI.

Perfect for tech enthusiasts, marketers, cybersecurity professionals, and other technical specialists, The Quick Guide to Prompt Engineering is also an essential resource for anyone seeking to obtain practical results from generative artificial intelligence tools.