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    <title>Model Optimization on Nalar</title>
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      <title>Understand Knowledge Distillation for Smaller AI Models</title>
      <link>https://nalar.dev/understand-knowledge-distillation-for-smaller-ai-models/</link>
      <pubDate>Thu, 03 Sep 2026 00:00:00 +0700</pubDate>
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      <description>&lt;p&gt;A large model may produce useful predictions but still be too expensive or slow for the environment where it must run. A mobile application, an edge device, or a high-volume service can have tighter limits on memory, latency, and compute.&lt;/p&gt;&#xA;&lt;p&gt;&lt;strong&gt;Knowledge distillation&lt;/strong&gt; is one way to address that gap. Instead of training a smaller model only from the original labels, we also train it to imitate information produced by a stronger &lt;strong&gt;teacher&lt;/strong&gt; model. The smaller model is called the &lt;strong&gt;student&lt;/strong&gt;.&lt;/p&gt;</description>
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