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        <title>Neural Networks - Tag - Daily Deep Think</title>
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    <title>Transformer Architecture Deep Dive: The Attention Mechanism</title>
    <link>https://blog.baifan.site/en/transformer-attention-mechanism-deep-dive/</link>
    <pubDate>Tue, 05 Aug 2025 14:00:00 &#43;0800</pubDate><author>
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    <description><![CDATA[<div class="featured-image">
                <img src="/pictures/note/ai-tutorial-2-transformer.jpg" referrerpolicy="no-referrer">
            </div><h1 id="ai-tutorial--transformer" class="headerLink">
    <a href="#ai-tutorial--transformer" class="header-mark"></a>AI Tutorial — Transformer</h1><h2 id="-1-what-is-the-transformer" class="headerLink">
    <a href="#-1-what-is-the-transformer" class="header-mark"></a>🧩 1. What Is the Transformer?</h2><blockquote>
  <p><strong>The Transformer is a deep learning architecture for processing sequential information — text, speech, code, and so on.</strong></p>

</blockquote><p>It was first proposed by Google in the 2017 paper <em>Attention Is All You Need</em>.</p>
<p>That paper laid the foundation for nearly every large language model today. GPT, BERT, Claude, Gemini, Qwen, ERNIE Bot — all of them are built on the Transformer.</p>]]></description>
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