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		<title>Mlops on Compile My Mind</title>
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				<title>AI Training vs AI Inference: What Is the Difference?</title>
				<link>https://www.compilemymind.com/posts/ai-training-vs-ai-inference/</link>
				<pubDate>Sun, 18 Oct 2026 17:58:21 +0300</pubDate>
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				<description>&lt;p&gt;An email classifier works beautifully in a notebook. It has learned from years of labeled messages, survived evaluation, and appears ready for production.&lt;/p&gt;&#xA;&lt;p&gt;Then the first real request arrives.&lt;/p&gt;&#xA;&lt;p&gt;Should the application load the training dataset again? Does the model update itself after reading the message? Is every prediction another tiny training run?&lt;/p&gt;&#xA;&lt;p&gt;No. The system has crossed an important boundary. &lt;strong&gt;AI training is the process that uses data and an objective to adjust a model&amp;rsquo;s parameters. AI inference is the process that uses a trained model to produce an output for new input.&lt;/strong&gt; Training creates or adapts the capability; inference applies it.&lt;/p&gt;</description>
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