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

Author:   Ian Khan
Publisher:   John Wiley & Sons Inc
ISBN:  

9781394243327


Pages:   480
Publication Date:   18 March 2024
Format:   Paperback
Availability:   In stock   Availability explained
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The Quick Guide to Prompt Engineering: Generative AI Tips and Tricks for ChatGPT, Bard, Dall-E, and Midjourney


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Overview

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.

Full Product Details

Author:   Ian Khan
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 15.20cm , Height: 3.80cm , Length: 22.60cm
Weight:   0.567kg
ISBN:  

9781394243327


ISBN 10:   1394243324
Pages:   480
Publication Date:   18 March 2024
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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

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