Large Language Models Made Simple: A Plain-English Guide to the AI Revolution

You've heard the buzzwords: large language models, GPT, generative AI. But what do they actually mean for your work, your decisions, and your understanding of technology? This book cuts through the hype to deliver a clear, honest explanation of how these systems work, what they can and cannot do, and how to use them wisely. You'll learn why AI sometimes gets facts wrong (hallucination), how prompts shape responses, and what training data really means. No code, no math, no jargon—just plain English that builds genuine understanding. Discover practical strategies for writing effective prompts, evaluating AI output, and spotting bias. Understand the limits: privacy, cost, and the simple reasons why models don't "think" like humans. Whether you're a professional curious about adopting AI or a citizen trying to make sense of the news, this guide gives you the confidence to navigate the AI revolution. Part of The Practical AI Library.

About the author

Anika Rao Bishop writes for The Practical AI Library.

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E-bog: 29. september 2026