How AI Works: From Sorcery to Science

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AI isn’t magic. How AI Works demystifies the explosion of artificial intelligence by explaining—without a single mathematical equation—what happened, when it happened, why it happened, how it happened, and what AI is actually doing "under the hood."

Artificial intelligence is everywhere—from self-driving cars, to image generation from text, to the unexpected power of language systems like ChatGPT—yet few people seem to know how it all really works.
How AI Works unravels the mysteries of artificial intelligence, without the complex math and unnecessary jargon.

You’ll learn:

  • The relationship between artificial intelligence, machine learning, and deep learning
  • The history behind AI and why the artificial intelligence revolution is happening now
  • How decades of work in symbolic AI failed and opened the door for the emergence of neural networks
  • What neural networks are, how they are trained, and why all the wonder of modern AI boils down to a simple, repeated unit that knows how to multiply input numbers to produce an output number.
  • The implications of large language models, like ChatGPT and Bard, on our society—nothing will be the same again

AI isn’t magic. If you’ve ever wondered how it works, what it can do, or why there’s so much hype,
How AI Works will teach you everything you want to know.

Author(s): Ronald T. Kneusel
Edition: 1
Publisher: No Starch Press
Year: 2023

Language: English
Commentary: Publisher ePUB | Published: September 2023
Pages: 192
City: San Francisco
Tags: AI; Artificial Intelligence; Machine Learning; Neural Networks; Convolutional Neural Networks; Generative AI; Large Language Models

Acknowledgments

Preface

Chapter 1: And Away We Go: An AI Overview

Chapter 2: Why Now? A History of AI

Chapter 3: Classical Models: Old-School Machine Learning

Chapter 4: Neural Networks: Brain-Like AI

Chapter 5: Convolutional Neural Networks: AI Learns to See

Chapter 6: Generative AI: AI Gets Creative

Chapter 7: Large Language Models: True AI at Last?

Chapter 8: Musings: The Implications of AI

Glossary

Resources

Index