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      <title>Opening Night: Launching a Fine‑Tuned LLM to Production</title>
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      <pubDate>Tue, 30 Dec 2025 20:53:57 +0000</pubDate>
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      <description>&lt;p&gt;&lt;a href=&#34;https://youtu.be/Drd_1fekEqU&#34;&gt;Video&lt;/a&gt; &amp;amp; &lt;a href=&#34;https://youtu.be/ISJqjCcEjnI&#34;&gt;Podcast&lt;/a&gt;&lt;/p&gt;&#xA;&lt;p&gt;Your fine‑tuned model is ready. Evals look good. Now you need to actually deploy it.&lt;/p&gt;&#xA;&lt;p&gt;This is the part most guides skip: how do you take a checkpoint and turn it into a service that real users can hit? What infrastructure decisions matter? What boundaries do you set? What happens when the GPU runs out of memory on New Year’s Eve?&lt;/p&gt;&#xA;&lt;p&gt;&lt;strong&gt;Think of it like opening a restaurant.&lt;/strong&gt; Your recipes work great in the test kitchen. But opening night means: multiple orders arriving simultaneously, ingredients running low, equipment breaking, customers ordering things you never tested together, and kitchen staff who’ve never worked a real dinner rush.&lt;/p&gt;</description>
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