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商品詳細
The Quick Guide to Prompt Engineering; Generative AI Tips and Tricks for Chat GPT, Bard, Dall-E. and Midjourney.
・ISBN 978-1-394-24332-7 paper US$ 24.99
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| 著者・編者 | Khan, Ian, |
|---|---|
| 出版社 | (Wiley, US) |
| 出版年月 | 2024 |
| ページ数 | 480 pp. |
| 言語 | ENG |
| ニュース番号 | <100-6513> |
解説
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.