The Quick Guide to Prompt Engineering: Generative AI Tips and Tricks for ChatGPT, Bard, Dall-E, and Midjourney - Softcover

Über die Autorin bzw. den Autor

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.

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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.

Aus dem Klappentext

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.