AI in Colors: From Simple Neural Nets to Large Language Models

AI in Colors was written to open the field of artificial intelligence to a wider audience and to make the foundations of modern AI more approachable and understandable, while bridging the gap between highly technical literature and readers who want to engage seriously with the subject without requiring an advanced mathematical background.

The book is a visual journey through artificial intelligence, designed to make a complex subject more accessible. It leads readers from the basic ideas behind neural networks, through the core concepts of machine learning, 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 deepen understanding. The aim is to develop a solid conceptual foundation, using mathematical detail where it clarifies rather than overwhelms.

It is intended for readers who want a clear and technically grounded introduction to the foundations of artificial intelligence: beginners who are curious about how modern AI systems work, software developers who want to better understand the ideas behind the tools they use, and students in Computer Science, Data Science, Mathematics, or Artificial Intelligence seeking an intuitive complement to formal study.

A central part of the book is its visual language. With more than 400 figures and illustrations, color is treated as a first-class didactic tool, woven together with mathematics to make structures and relationships easier to follow. The visual design is part of the explanation itself, helping readers build intuition alongside technical understanding. In AI in Colors, color is not an addition to the mathematics, but part of how the mathematics is taught.

At its core, the book aims to deepen understanding of the ideas and mechanisms behind modern artificial intelligence, helping readers build the knowledge needed to engage more clearly with a technology that is playing an increasingly important role in society, the economy, and many areas of everyday life.