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	<title>MIT Araştırması &#8211; teknodiot</title>
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		<title>Yapay Zeka Dev Modellerin Ölçeklenme Tutkusu Zirveye Yaklaşıyor</title>
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		<dc:creator><![CDATA[Rıfkı Erduran]]></dc:creator>
		<pubDate>Thu, 16 Oct 2025 09:10:21 +0000</pubDate>
				<category><![CDATA[Yapay Zeka]]></category>
		<category><![CDATA[AI Altyapısı]]></category>
		<category><![CDATA[AI Modelleri]]></category>
		<category><![CDATA[MIT Araştırması]]></category>
		<category><![CDATA[Ölçeklendirme]]></category>
		<category><![CDATA[verimlilik]]></category>
		<category><![CDATA[yapay zeka]]></category>
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					<description><![CDATA[Yapay zeka sekt&#246;r&#252; uzun s&#252;redir daha b&#252;y&#252;k ve karma&#351;&#305;k modeller geli&#351;tirmeye odakland&#305;. Ancak MIT&#8217;den yap&#305;lan son &#231;al&#305;&#351;ma, bu devasa modellerin ileride beklenen performans art&#305;&#351;lar&#305;n&#305; sa&#287;lamada azalacak fayda &#252;retebilece&#287;ini ortaya koyuyor. &#304;lk olarak, ara&#351;t&#305;rmac&#305;lar &#246;l&#231;eklendirme yasalar&#305;n&#305; model verimlili&#287;indeki geli&#351;melerle kar&#351;&#305;la&#351;t&#305;rd&#305;. B&#246;ylece, gelecek on y&#305;l i&#231;inde b&#252;y&#252;k modellerin performans s&#305;&#231;ramalar&#305;n&#305;n yava&#351;layaca&#287;&#305;n&#305; g&#246;zlemlediler. &#214;l&#231;eklendirme Yasalar&#305;n&#305;n S&#305;n&#305;rlar&#305; Ara&#351;t&#305;rmaya kat&#305;lan &#8230;]]></description>
		
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