The Three Math Pillars Powering Modern Large Language Models
Beyond compute, data, and Transformer architecture, large language models rely on three core mathematical disciplines—linear algebra for representations, probability and statistics for modeling, and calculus for optimization—each of which underpins token embeddings, attention mechanisms, training objectives, and scaling laws.
