# Transformer注意力机制发展历程回顾

- 来源：SemiAnalysis (@SemiAnalysis_)
- 发布时间：2026-06-29 09:00
- AIHOT 分数：5
- AIHOT 链接：https://aihot.virxact.com/items/cmqyjj6y502gvslivvj9nzvzd
- 原文链接：https://x.com/SemiAnalysis_/status/2071398345017323714

## AI 摘要

Transformer 的注意力机制已经走过了漫长的道路。我们要感谢开源社区的研究人员和工程师，他们持续让高性能 AI 变得可及。请与我们一同庆祝，分享此帖，标记更多贡献者，并分享趣闻，共同完善注意力的开放历史！（1/8）🧵

## 正文

Transformer's Attention mechanism has come a long way. We'd like to thank the researchers and the engineers in the open-source community for continuing to make high-performance AI accessible. Please celebrate with us by sharing this post， tagging more contributors， and sharing anecdotes to complete the open history of Attention！ （1/8）🧵