Name: The Machine That Started As Nonsense: A Plain-English Guide to How AI works, from Machine Learning to Large Language Models
SKU: 68937037
Price: 109.22 NZD
Availability: InStock
Author: Hansen, Grace Ann
ISBN: 9798176325898

portada The Machine That Started As Nonsense: A Plain-English Guide to How AI works, from Machine Learning to Large Language Models

The Machine That Started As Nonsense: A Plain-English Guide to How AI works, from Machine Learning to Large Language Models

Type

Physical Book

Publisher

Independently published

Author

Hansen, Grace Ann

Format

Paperback

ISBN13

9798176325898

The Machine That Started As Nonsense: A Plain-English Guide to How AI works, from Machine Learning to Large Language Models

Hansen, Grace Ann (Author) · Independently published · Paperback

New Book Imported to New Zealand

Delivery: 02 Dec - 09 Dec

NZ$ 109.22

Import costs and 15% GST included in the price ✅

NZ$ 109.22

Add to Wishlist

Synopsis "The Machine That Started As Nonsense: A Plain-English Guide to How AI works, from Machine Learning to Large Language Models"

Every AI you have ever used began as nonsense. Before it could answer a question, pass a medical exam, or fold a protein, it was a machine that had never seen a word, guessing at random and wrong almost every time. This book is the story of how that nonsense gets trained into something that reads, reasons, and now and then fools the people who built it. It is machine learning with the machinery left out and the meaning left in. You have read the headlines. A model "thinks." A model "understands." A model is coming for your job by Tuesday. And somewhere between the press releases and the textbooks thick with equations, almost nothing is written for the curious adult who simply wants to know what is actually going on. This is that book. In twelve short chapters, you will learn how a large language model is really built, one stage at a time: how it swallows a cleaned-up copy of the internet, how it is taught manners, and how it learns to prefer one answer over another. You will see why a chatbot's confidence is not the same as competence, why the same recipe that writes your email also predicts the weather and designs new materials, and why "trained on public data" carries a price tag most people never see. And in the final chapter you get something rare: six questions you can run on any AI claim that crosses your screen, so the next time a headline says a machine is about to change everything, you will know exactly what to ask. No code. No calculus. Just one honest guide who will not sell you the hype. Understand how AI actually works, and stop being fooled by the people who say they already do.