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    <title>Model Alignment on Nalar</title>
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    <description>Recent content in Model Alignment on Nalar</description>
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    <lastBuildDate>Sat, 05 Sep 2026 00:00:00 +0700</lastBuildDate>
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      <title>Understand Direct Preference Optimization for Language Models</title>
      <link>https://nalar.dev/understand-direct-preference-optimization-for-language-models/</link>
      <pubDate>Sat, 05 Sep 2026 00:00:00 +0700</pubDate>
      <guid>https://nalar.dev/understand-direct-preference-optimization-for-language-models/</guid>
      <description>&lt;p&gt;A language model can learn to imitate examples with supervised fine-tuning, but imitation alone does not directly express a common requirement: for the same prompt, one acceptable response may be preferable to another.&lt;/p&gt;&#xA;&lt;p&gt;Preference data represents that requirement as comparisons. A training record contains a prompt, a &lt;strong&gt;chosen&lt;/strong&gt; response, and a &lt;strong&gt;rejected&lt;/strong&gt; response. &lt;strong&gt;Direct preference optimization (DPO)&lt;/strong&gt; uses those pairs to adjust a language model so that the chosen response becomes more favored relative to the rejected one, while comparing the update with a fixed reference model.&lt;/p&gt;</description>
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