<?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>My Papers &amp; Code</title><link>https://woletee.github.io/</link><description>Recent content on My Papers &amp; Code</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 04 Aug 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://woletee.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>Understanding Transformers From a Research Paper</title><link>https://woletee.github.io/understanding-transformers/</link><pubDate>Tue, 04 Aug 2026 00:00:00 +0000</pubDate><guid>https://woletee.github.io/understanding-transformers/</guid><description>&lt;h2 id="paper"&gt;Paper&lt;/h2&gt;
&lt;p&gt;&lt;a href="https://arxiv.org/abs/1706.03762"&gt;Attention Is All You Need&lt;/a&gt;&lt;/p&gt;
&lt;h2 id="the-problem"&gt;The problem&lt;/h2&gt;
&lt;p&gt;Explain the problem using your own words.&lt;/p&gt;
&lt;h2 id="main-idea"&gt;Main idea&lt;/h2&gt;
&lt;p&gt;Describe the important concepts, diagrams, and equations.&lt;/p&gt;
&lt;h2 id="python-implementation"&gt;Python implementation&lt;/h2&gt;
&lt;div class="highlight"&gt;&lt;pre tabindex="0" style="color:#f8f8f2;background-color:#272822;-moz-tab-size:4;-o-tab-size:4;tab-size:4;-webkit-text-size-adjust:none;"&gt;&lt;code class="language-python" data-lang="python"&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;&lt;span style="color:#f92672"&gt;import&lt;/span&gt; numpy &lt;span style="color:#66d9ef"&gt;as&lt;/span&gt; np
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;&lt;span style="color:#66d9ef"&gt;def&lt;/span&gt; &lt;span style="color:#a6e22e"&gt;softmax&lt;/span&gt;(values):
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt; exp_values &lt;span style="color:#f92672"&gt;=&lt;/span&gt; np&lt;span style="color:#f92672"&gt;.&lt;/span&gt;exp(values &lt;span style="color:#f92672"&gt;-&lt;/span&gt; np&lt;span style="color:#f92672"&gt;.&lt;/span&gt;max(values))
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt; &lt;span style="color:#66d9ef"&gt;return&lt;/span&gt; exp_values &lt;span style="color:#f92672"&gt;/&lt;/span&gt; exp_values&lt;span style="color:#f92672"&gt;.&lt;/span&gt;sum()
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;
&lt;/span&gt;&lt;/span&gt;&lt;span style="display:flex;"&gt;&lt;span&gt;print(softmax(np&lt;span style="color:#f92672"&gt;.&lt;/span&gt;array([&lt;span style="color:#ae81ff"&gt;1.0&lt;/span&gt;, &lt;span style="color:#ae81ff"&gt;2.0&lt;/span&gt;, &lt;span style="color:#ae81ff"&gt;3.0&lt;/span&gt;])))
&lt;/span&gt;&lt;/span&gt;&lt;/code&gt;&lt;/pre&gt;&lt;/div&gt;&lt;h2 id="what-i-learned"&gt;What I learned&lt;/h2&gt;
&lt;p&gt;Summarize the practical lessons and link to your complete GitHub project.&lt;/p&gt;</description></item></channel></rss>