"LLM in 100 Illustrations" is a visual and comprehensible introduction to the world of large language models. The book unveils complex concepts through 100 simple images, helping to quickly understand how modern models like ChatGPT, Claude, Gemini, and Llama are structured and operate.
Who the Book is For
The material is suitable for those who want to quickly understand how LLMs function and where they are applied without unnecessary theory. The book will be useful for:
- leaders and product managers making decisions in the AI field;
- developers and engineers working with language models;
- students and researchers in the field of machine learning;
- everyone who wants to understand the technologies shaping the future.
What You Will Find Inside
The book is structured to provide a clear understanding of both fundamental mechanisms and contemporary methods of working with AI models.
Basics of LLM Architecture
- how Transformer models are structured;
- the self-attention mechanism and its role;
- embeddings and the method of representing information inside the model.
Training and Using Models
- stages of training large language models;
- approaches to optimization and quality improvement;
- strategy decoding and features of inference.
Modern Architectures and Methods
- Mixture-of-Experts — scaling models;
- Mamba and other new approaches;
- methods of safety and alignment in LLM.
Why It is Convenient and Effective
Each concept is explained through visual schemes, so immersion in the subject is quick and clear. The book helps to form a holistic understanding of the operation of modern AI systems and apply the knowledge in practice—regardless of your level of preparation.
