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		<title>10 differences between small language models (SLM) and large language models (LLMs) for enterprise AI</title>
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		<dc:creator><![CDATA[Kane Simms]]></dc:creator>
		<pubDate>Fri, 14 Jun 2024 05:35:16 +0000</pubDate>
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		<category><![CDATA[Large Language Model]]></category>
		<category><![CDATA[LLM]]></category>
		<category><![CDATA[LLMs]]></category>
		<category><![CDATA[slm]]></category>
		<category><![CDATA[slms]]></category>
		<category><![CDATA[small language model]]></category>
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					<description><![CDATA[With all this talk about large language models, you’d be forgiven for thinking that they’re going to solve the world’s problems. All we need is more data and more computing power! However, when it comes to enterprise AI, bigger isn’t always better. It’s true that large language models have some brilliant capabilities, but do you [&#8230;]]]></description>
		
		
		
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