LLMs Explained Visually

LLMs Explained Visually is a visual guide to understanding the concepts, architectures and ecosystem behind Large Language Models. Through diagrams, visualizations and simplified explanations, it explores how modern LLMs work—from transformers, embeddings, and tokenization to quantization, optimization, model formats and deployment. This guide was created to make complex AI concepts easier to understand by focusing on intuition and visual learning rather than heavy mathematical detail. It is intended for developers, students, AI enthusiasts and anyone curious about the technologies powering today's generative AI systems. Whether you're just getting started with LLMs or looking to strengthen your conceptual understanding, this book provides a structured overview of the key ideas, tools and techniques that shape the modern LLM ecosystem. Table of Contents • Transformer Architecture Overview • LLM & AI Terminology Guide • LLM Models in 3D Space • LLM Data in 3D Embedding Space • Token Embeddings in 3D Space • Quantization in LLMs • LLM Optimization Techniques • Understanding LLM Model Formats • LLM Model Conversions & Ecosystem • WebLLM Overview • Applications for Running Local LLMs