A Visual Guide to Attention Variants in Modern LLMs

Jul 11, 2026

Sebastian Raschka published a visual guide covering attention variants in modern LLMs, including MHA, GQA, MLA, sparse attention, and hybrid architectures. The article provides an accessible overview of key attention mechanisms.

Why it matters: Understanding attention variants is crucial for grasping how modern LLMs achieve efficiency and performance.

Full story at: Ahead of AI — Sebastian Raschka ↗