Название: The Quick Guide to Prompt Engineering: Generative AI Tips and Tricks for ChatGPT, Bard, Dall-E, and Midjourney
Автор: Ian Khan
Издательство: Wiley
Год: 2024
Страниц: 479
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

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

Codex represents not merely the next iteration of code-generation tools but an avant-garde transformation of how we perceive the confluence of coding and AI. At its essence, Codex is a prodigious language model specifically designed for generating code, and its inception can be considered both an evolution and a revolution. Codex's lineage traces back to the landmark achievements of its predecessors, particularly GPT-3, one of Open AI's most lauded creations. While GPT-3 demonstrated awe-inspiring abilities across a wide range of natural language processing tasks, Codex fine-tunes this prowess with an emphasis on code generation. The very architecture of Codex is testament to OpenAI's commitment to pushing the boundaries of what AI models can achieve. Trained on a rich amalgamation of licensed data, data crafted by human trainers, and a plethora of publicly available data, Codex emerges as a testament to the sheer potential of deep learning in understanding and generating programming languages.

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.

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