Книга AI Prompt Engineering Absolute Beginner's Guide Michael Miller

AI Prompt Engineering Absolute Beginner's Guide

Автор: Michael Miller
Език: Английски език
Корици: С меки корици
Издател: Pearson Education
Наличност: Външен склад
Изпращаме след 14-21 дни
31.85 62.30 лв
Master the art of AI prompting to unlock the full potential of generative AI tools for enhanced crea...

Информация за книгата

Автор
Език
Английски език
Корици
Книга - С меки корици
Издадена
2025
страници
272
EAN
9780135570463
ISBN
0135570468
Enbook ID
49594588
Издател
Теглоt
431

Пълно описание

Master the art of AI prompting to unlock the full potential of generative AI tools for enhanced creativity and productivity AI Prompt Engineering Absolute Beginner’s Guide, by best-selling author Michael Miller (writer of 200+ practical tech books), teaches readers how to craft effective prompts that unlock the full power of generative AI. You’ll learn what generative AI can (and can’t) do, why well-structured prompts matter, and how to craft them step-by-step for the results you actually want. This approachable guide walks you through the anatomy of a great prompt--defining clear goals, outputs, constraints, tone, and style--then builds your skills with proven prompting strategies. You’ll also learn how to evaluate prompt performance, troubleshoot underperforming prompts, and refine your prompts with iterative techniques. Even better, you’ll learn how to construct prompts for specific tasks (productivity, writing, image generation, and more) and take advantage of a large library of prompt templates. Whether you are a casual user or a professional in content creation, marketing, education, or tech, this book helps you unlock the full power of today’s AI tools. With practical examples and real-world use cases, you will learn how to evaluate performance, refine and iterate, troubleshoot weak outputs, and use AI responsibly. This book will help you with: Understanding how generative AI works and why prompts matterStructuring the anatomy of clear, specific, goal-oriented promptsDefining outputs, constraints, tone, and style to guide resultsApplying zero-shot, one-shot, and few-shot prompting techniquesUsing chain-of-thought and self-consistency to improve reasoningAdopting role- and persona-based prompting for better contextBuilding prompt chains and multimodal prompts (text, image, video)Evaluating prompt performance and iterating for improvementGenerating higher-quality text, images, and videos for real use casesTroubleshooting weak outputs and practicing responsible, ethical prompting

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