现代 LLM 注意力变体视觉指南

AI 摘要

Sebastian Raschka 发布了一篇关于现代 LLM 中注意力机制变体的视觉指南，涵盖 MHA、GQA、MLA、稀疏注意力和混合架构等。他同时推出了包含 45 个条目的 LLM 架构画廊，并提供海报版本。文章旨在作为参考和学习资源，帮助读者理解不同注意力变体的原理和应用。

正文节选

A Visual Guide to Attention Variants in Modern LLMs From MHA and GQA to MLA, sparse attention, and hybrid architectures I had originally planned to write about DeepSeek V4. Since it still hasn’t been released, I used the time to work on something that had been on my list for a while, namely, collecting, organizing, and refining the different LLM architectures I have covered over the past few years. So, over the last two weeks, I turned that effort into an LLM architecture gallery (with 45 entrie

发布时间：2026-03-22 19:55

抓取时间：2026-08-02 00:27

来源机构：Sebastian Raschka