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    <title>Positional Encoding on Nalar</title>
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    <description>Recent content in Positional Encoding on Nalar</description>
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    <lastBuildDate>Thu, 03 Sep 2026 00:00:00 +0700</lastBuildDate>
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      <title>Understand Positional Information in Transformer Models</title>
      <link>https://nalar.dev/understand-positional-information-in-transformer-models/</link>
      <pubDate>Thu, 03 Sep 2026 00:00:00 +0700</pubDate>
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      <description>&lt;p&gt;Self-attention can compare every token with other tokens in a context, but the comparison alone does not tell the model where those tokens occur. A sentence is not just a collection of words: changing their order can change the meaning.&lt;/p&gt;&#xA;&lt;p&gt;Transformer models therefore need a way to represent &lt;strong&gt;positional information&lt;/strong&gt;. This mechanism lets the network distinguish, for example, the first occurrence of a token from a later occurrence and reason about relationships such as &amp;ldquo;the previous token&amp;rdquo; or &amp;ldquo;far earlier in the document.&amp;rdquo;&lt;/p&gt;</description>
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