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    <title>Terézia Slanináková on e-INFRA CZ Blog</title>
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      <title>Training a language model from scratch with e-INFRA AI agents</title>
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      <pubDate>Wed, 01 Apr 2026 00:00:00 +0000</pubDate>
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      <description>&lt;h2 id=&#34;intro&#34; class=&#34;heading&#34;&gt;Intro&lt;a href=&#34;#intro&#34; aria-labelledby=&#34;intro&#34;&gt;&#xA;&lt;!-- &lt;i class=&#34;fas fa-link anchor&#34;&gt;&lt;/i&gt; --&gt;&#xA;        &lt;svg class=&#34;svg-inline--fa fas fa-link anchor&#34; fill=&#34;currentColor&#34; aria-hidden=&#34;true&#34; role=&#34;img&#34; viewBox=&#34;0 0 640 512&#34;&gt;&lt;use href=&#34;#fas-link&#34;&gt;&lt;/use&gt;&lt;/svg&gt;&amp;nbsp;&#xA;    &lt;/a&gt;&#xA;&lt;/h2&gt;&#xA;&lt;p&gt;Two weeks ago, I came across Karpathy&amp;rsquo;s &#xA;    &#xA;&#xA;&#xA;&#xA;&#xA;&#xA;&#xA;&#xA;&#xA;    &#xA;&#xA;&lt;a href=&#34;https://github.com/karpathy/autoresearch&#34;&gt;autoresearch&lt;/a&gt; repository and was hooked. The idea that given a clear optimization objective, you can spawn an AI agent and let it work overnight to reach some optimum is very appealing — too many times in my PhD I spent my days trying to find the best configuration of a system, manually. While it was needed, it definitely wasn&amp;rsquo;t fun.&lt;/p&gt;</description>
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