Isbn: 9798192074794 - prompt engineering for the rest of us: a step-by-step guide for non-technical professionals to write smarter prompts, cut busywork, and get reliable results every time (5 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condizione: Neu. Neuware.

Paperback. Condizione: new. Paperback. Do you stare at the blank prompt box and wonder what to type?You've tried ChatGPT, Claude, or Gemini. You type a quick request, get back something generic or disappointing, and end up rewriting the response yourself. Meanwhile, someone else seems to get clear, useful, surprisingly specific results from the same AI tools.What are they doing differently?They're not necessarily more technical. They're simply communicating their instructions more effectively.Prompt Engineering for the Rest of Us shows you how to turn ordinary instructions into clear, effective prompts that help AI produce more useful results-without coding, complicated terminology, or a computer science background.Written specifically for non-technical professionals, this practical guide is ideal for teachers, HR professionals, real estate agents, consultants, healthcare administrators, small business owners, managers, freelancers, and anyone who uses AI for writing, planning, research, communication, or everyday work.Inside, you'll discover: How prompt engineering is really a communication skill-and how the skills you already use every day can help you write better promptsA simple four-part framework for creating clear, focused prompts instead of guessing what to typeWhy common prompts produce vague, generic, or incomplete answers-and how to fix themHow to provide the right context so AI understands what you actually needHow to define the role, task, audience, tone, format, and constraints that shape a better responsePractical ways to refine weak AI responses instead of starting over from scratchHow to make AI-generated writing sound more natural, specific, and closer to your own voiceHow to check AI-generated information and catch errors before relying on itHow to create a personal library of effective prompts that saves you from starting with a blank screenA practical 30-day plan for turning better prompting into an everyday skillA one-page cheat sheet you can keep nearby whenever you need to create or improve a promptLearn by doing-not by memorizing theory.Each chapter combines a straightforward explanation with practical examples, before-and-after prompts, common mistakes, and reusable templates. You'll see how a weak prompt can be transformed into a more useful one and, more importantly, learn why the improved version works.You don't need to understand how AI models are built.You don't need to learn programming.You don't need to become an AI expert.You simply need to learn how to communicate your request clearly.This book is not for: Software engineers looking for API documentation, model architecture, advanced AI development, or system-level technical training. This book focuses on practical prompting for everyday professional and personal tasks.This book is for you if: You want to spend less time rewriting poor AI responses.You want to get more useful results from the AI tools you already use.You want practical prompts you can adapt to your own work.You want to understand why some prompts work better than others.Or you simply want to stop staring at an empty prompt box wondering where to begin.By the end of this book, you'll have a repeatable approach for creating, improving, and evaluating prompts.Instead of treating every AI interaction as a guessing game, you'll know how to give clearer instructions, provide useful context, refine the results, and build prompts that fit the task in front of you.Stop guessing what to type. Start communicating with AI more effectively.Scroll up and get your copy of Prompt Engineering Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

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