Interactive linear algebra primer launched for LLM readers, covering vectors, matrices, and Transformer operations

A new educational resource teaches the minimum linear algebra needed to understand Transformer diagrams — vectors, dot products, matrix multiplication, cosine similarity, norm, and transpose — through visual and concise explanations.

The primer organizes core algorithmic patterns (two-pointer, dynamic programming, graph traversal, bit manipulation) alongside linear algebra fundamentals, each with named sub-patterns and complexity notation (e.g., O(log N), O(N)).

A Transformer Forward Pass guide is coming soon, designed to walk readers through a modern LLM pipeline in five ordered stages: tokenize, encode, attend, decode, and cache.