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	<title>quantitative structure-odor relationship &#8211; BIOENGINEER.ORG</title>
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		<title>AI Language Models Learn to Smell: GPT Systems Predict How Molecules Will Scent Us</title>
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		<pubDate>Fri, 09 Oct 2026 00:06:07 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[chemical nomenclature]]></category>
		<category><![CDATA[GPT-5]]></category>
		<category><![CDATA[Large Language Models]]></category>
		<category><![CDATA[Machine Learning]]></category>
		<category><![CDATA[molecular fingerprints]]></category>
		<category><![CDATA[odor prediction]]></category>
		<category><![CDATA[odor sensors]]></category>
		<category><![CDATA[olfactory perception]]></category>
		<category><![CDATA[pleasantness]]></category>
		<category><![CDATA[quantitative structure-odor relationship]]></category>
		<category><![CDATA[sensory science]]></category>
		<category><![CDATA[zero-shot learning]]></category>
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					<description><![CDATA[A new study shows that generative large language models can predict odor quality, capture concentration-dependent scent shifts, and outperform molecular fingerprints in specific odor sensor tasks, all without any task-specific training.]]></description>
		
		
		
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