linear-algebra

Introduces LinAlg-Bench, a diagnostic benchmark evaluating 10 frontier LLMs on structured linear algebra computation across matrix dimensions, revealing that LLM mathematical failure is structurally constrained and transitions from execution errors to computational abandonment at 4x4 scale.

Terence Tao states that the mathematics underlying modern LLMs is simple, using basic linear algebra and calculus, but the unpredictability of model performance across tasks remains a mystery due to the complex nature of natural language data.

This paper presents a parallelization framework for CFR algorithms using linear algebra operations, achieving up to four orders of magnitude speedup on GPU compared to CPU implementations.

Think Linear Algebra is a code-first, open-source educational resource that teaches linear algebra concepts using Python and Jupyter notebooks, focusing on practical applications rather than abstract theory.