AI In Colors
From Simple Neural Nets to Large Language Models
AI In Colors is a visual journey through artificial intelligence, designed to make a complex subject more accessible without oversimplifying it. The book leads readers from the basic ideas behind neural networks to the principles and architecture of today's large language models, with a strong focus on fundamentals, intuition, and clear explanation.
Rather than assuming an advanced mathematical background, the book builds understanding step by step. Much of the mathematics stays within a high school level, while the rest draws on undergraduate concepts where they genuinely help deepen insight. The aim is not to impress with technicality, but to help readers see how the pieces fit together.
A central part of the book is its visual language. With more than 400 figures and illustrations, color is used not as decoration but as a teaching tool. Patterns, structures, and relationships are made easier to follow through deliberate visual design, helping readers build intuition as they move through the subject.
This book was written for readers who are curious about AI and want a calm, thoughtful introduction to how it works. Its intention is to open the field to a wider audience and to make the foundations of modern AI feel more approachable and understandable, at a time when these models are playing an increasingly important role in society and the economy.
Available June 2026