<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Self-Attention on martinuke0&#39;s Blog</title>
    <link>https://martinuke0.github.io/tags/self-attention/</link>
    <description>Recent content in Self-Attention on martinuke0&#39;s Blog</description>
    <image>
      <title>martinuke0&#39;s Blog</title>
      <url>https://martinuke0.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E</url>
      <link>https://martinuke0.github.io/%3Clink%20or%20path%20of%20image%20for%20opengraph,%20twitter-cards%3E</link>
    </image>
    <generator>Hugo -- 0.152.2</generator>
    <language>en</language>
    <lastBuildDate>Sun, 18 Oct 2026 20:01:24 +0000</lastBuildDate>
    <atom:link href="https://martinuke0.github.io/tags/self-attention/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Hands-on Build Guide: Tiled Self-Attention Kernel with Online Softmax in Pure NumPy</title>
      <link>https://martinuke0.github.io/posts/2026-10-18-hands-on-build-guide-tiled-self-attention-kernel-with-online-softmax-in-pure-num/</link>
      <pubDate>Sun, 18 Oct 2026 20:01:24 +0000</pubDate>
      <guid>https://martinuke0.github.io/posts/2026-10-18-hands-on-build-guide-tiled-self-attention-kernel-with-online-softmax-in-pure-num/</guid>
      <description>Build a FlashAttention‑style tiled self‑attention kernel in pure NumPy, complete with online softmax, and add a standout portfolio project that demonstrates low‑level optimization and deep learning fundamentals.</description>
    </item>
  </channel>
</rss>
