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    <title>A Complete Guide to LLMs: Tokens and Vectors in Depth</title>
    <link>https://blog.baifan.site/en/ai-llm-tutorial-token-vector-basics/</link>
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    <description><![CDATA[<div class="featured-image">
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    <a href="#ai-tutorial-a-guide-to-ai-llms-from-basics-to-depth" class="header-mark"></a>AI Tutorial: A Guide to AI LLMs, from Basics to Depth</h1><p>This article takes you deep into the core concepts of large language models — from basic principles to vector representation — building a complete knowledge system step by step.</p>
<hr>
<h2 id="1-foundations-of-ai-application-development" class="headerLink">
    <a href="#1-foundations-of-ai-application-development" class="header-mark"></a>1. Foundations of AI Application Development</h2><h3 id="11-basic-principles-and-concepts" class="headerLink">
    <a href="#11-basic-principles-and-concepts" class="header-mark"></a>1.1 Basic Principles and Concepts</h3><h4 id="in-plain-words" class="headerLink">
    <a href="#in-plain-words" class="header-mark"></a>In Plain Words</h4><ul>
<li><strong>Core mechanism</strong>: predict the next word from the previous one — like a word-chain game</li>
<li><strong>How it works</strong>: output is generated token by token</li>
</ul>
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    <a href="#a-deeper-look" class="header-mark"></a>A Deeper Look</h4><p>A large AI model involves two key stages:</p>]]></description>
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