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 learningThe history behind AI and why the artificial intelligence revolution is happening nowHow decades of work in symbolic AI failed and opened the door for the emergence of neural networksWhat 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: 2024

Language: English
Pages: 275

Title Page
Copyright Page
Dedication Page
About the Author
About the Technical Reviewer
CONTENTS
Acknowledgments
Preface
Chapter 1: And Away We Go: An AI Overview
Chapter 2: Why Now? A History of AI
Pre-1900
1900 to 1950
1950 to 1970
1980 to 1990
1990 to 2000
2000 to 2012
2012 to 2021
2021 to Now
Speed
Algorithm
Data
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?
GPT-4
GPT-3.5
Bard
GPT-4
GPT-3.5
Bard
7 billion
13 billion
30 billion
Chapter 8: Musings: The Implications of AI
Glossary
Resources
Index