DEV Community publishes foundational mathematics guide for understanding AI and LLMs

A tutorial published on DEV Community outlines the core mathematical concepts underlying modern artificial intelligence systems and large language models (LLMs). The guide explains how text is processed through an LLM pipeline, covering steps from tokenization and numeric encoding to vector embeddings, transformer layers, and probability-based token sampling. It introduces key topics such as number systems, linear algebra, and the softmax function, mapping each concept to a specific stage in how a model generates responses. The guide also details how computers convert human language into numbers using standards like ASCII, Unicode, and UTF-8 before AI models can process it. The resource is aimed at learners who want to move beyond treating AI as a black box and build a deeper understanding of how these systems function internally.