📐 Mathematics for AI — Foundation Course

Short summary

A foundation course covering the essential mathematics behind AI and LLMs, from tokenization and encoding to embeddings, transformers, and probability distributions. It walks through the full pipeline of how text flows through a language model, mapping each stage to its underlying math concepts. The guide targets learners who want to move beyond treating AI as a black box.

• •Covers number systems, tokenization (BPE), vectors, embeddings, linear algebra, and probability as they apply to LLMs
• •Walks through the full LLM pipeline from prompt to autoregressive token generation
• •Aimed at beginners who want to understand why AI works, not just how to use it

Generated with AI, which can make mistakes.