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Discover excerpts from the book
A few pages to discover the tone, the method and the proposed path: understanding AI without jargon, without fear and without oversimplification.
These extracts give an overview of the path proposed in "An Approximate Intelligence".
Starting from human uncertainty, understanding probabilities, discovering models, then addressing neural networks, generative AI and ethical questions.
INTRODUCTION
Why and How
Why this book gas been written and how it is organized.
PART ONE: Understanding
The Foundations of Artificial Intelligence
PART TWO: Applying
Artificial Intelligence in Action
Gen AI and LLMs
About generative AI,
LLMs and agents
Deep Learning
About neural networks.
What they are and how they work.
PART THREE: Reflect
Responsibilities, Fears and the Future
Fears and Ethics
No magic
No threat