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	<title>Parameters (AI model) - Revision history</title>
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	<updated>2026-09-15T06:23:51Z</updated>
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		<title>imported&gt;ALT-TEXT: Import: AI terminology and people glossary</title>
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		<updated>2026-09-07T10:36:21Z</updated>

		<summary type="html">&lt;p&gt;Import: AI terminology and people glossary&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Parameters (AI model) ==&lt;br /&gt;
The internal numerical values a [[Neural network|neural network]] adjusts during training to capture patterns in its data. A model&amp;#039;s parameter count (often quoted in billions, e.g. &amp;quot;a 70-billion-parameter model&amp;quot;) is a rough, though widely misused, proxy for its scale and capability. More parameters generally mean more capacity to learn, but also more computing power required to run the model. (See also: [[Neural network]], [[Compute (AI)|Compute]])&lt;br /&gt;
&lt;br /&gt;
[[Category:Glossary]]&lt;br /&gt;
[[Category:Artificial Intelligence]]&lt;br /&gt;
[[Category:Machine Learning]]&lt;br /&gt;
&lt;/div&gt;</summary>
		<author><name>imported&gt;ALT-TEXT</name></author>
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