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

Ian Khan, a renowned technology futurist, management consultant, and AI thought leader, provides a practical and insightful discussion on understanding and learning how to use generative AI in The Quick Guide to Prompt Engineering. The book covers how to design and use prompts to get the most out of Large Language Model generative AI applications, including ChatGPT, DALL-E, Googles Bard, and more. It also includes thoughtful and illuminating case studies, hands-on exercises, and step-by-step guides to help non-technical users take the first steps in the world of generative AI.

Format: Paperback / softback
Length: 480 pages
Publication date: 18 March 2024
Publisher: John Wiley & Sons Inc

In the comprehensive guide "The Quick Guide to Prompt Engineering," renowned technology futurist, management consultant, and AI thought leader Ian Khan delves into the realm of generative AI, offering a practical and insightful exploration for beginners. This concise and quick start guide empowers readers to grasp the fundamentals of generative AI and effectively utilize prompts to maximize the potential of Large Language Model (LLM) generative AI applications, including ChatGPT, DALL-E, Google's Bard, and more.

The book provides a comprehensive roadmap for understanding generative AI and engineering prompts across diverse industry use cases. It offers thoughtful and illuminating case studies, hands-on exercises, and step-by-step guides to expedite the learning process. Designed with the non-technical user in mind, the book offers a helpful glossary of common terms, lists of valuable additional reading and resources, and other valuable resources to aid in your journey into the world of generative AI.

Chapter 1: Introduction to Generative AI

In this chapter, Khan provides a foundational understanding of generative AI, delving into its core concepts, applications, and limitations. He explains how LLMs work, their training processes, and the different types of models available. Khan also highlights the ethical considerations and challenges associated with AI, emphasizing the importance of responsible and ethical use of these powerful tools.

Chapter 2: Designing Effective Prompts

In this chapter, Khan explores the art of designing effective prompts that yield helpful and practical results. He discusses the importance of understanding the target audience, the desired outcome, and the context of the task. Khan provides practical tips and techniques for crafting prompts that are specific, clear, and concise, ensuring that the LLMs can effectively interpret and respond to them.

Chapter 3: Generating Text, Images, Video, Voice, and Music

In this chapter, Khan showcases the versatility of generative AI by demonstrating how to generate text, images, video, voice, and music using various publicly available AI tools. He explains the process of selecting the appropriate tools, specifying the desired output format, and optimizing the prompts to achieve the best results. Khan also provides examples and case studies of successful generative AI applications in these domains.

Chapter 4: Case Studies and Exercises

The book includes several case studies and hands-on exercises to reinforce the concepts learned in the previous chapters. These exercises provide practical opportunities for readers to apply their knowledge and skills in real-world scenarios. Khan guides

In conclusion, "The Quick Guide to Prompt Engineering" is a must-read for tech enthusiasts, marketers, content creators, technical professionals, and anyone with an interest in one of the newest and most practical technological advancements recently released to the public. By delving into the realm of generative AI, Ian Khan provides a comprehensive and accessible guide that empowers beginners to grasp the fundamentals, engineer effective prompts, and unlock the full potential of LLMs in diverse industry use cases. With its practical insights, case studies, and hands-on exercises, this book serves as a valuable resource for anyone seeking to navigate the exciting world of generative AI and leverage its transformative power.

Weight: 704g
Dimension: 152 x 229 x 28 (mm)
ISBN-13: 9781394243327