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.
Table of Contents
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
