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		<title>NASA-built AI assistant taps verified aviation tools to cut hallucination risk</title>
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		<pubDate>Fri, 16 Oct 2026 04:34:13 +0000</pubDate>
				<category><![CDATA[Technology]]></category>
		<category><![CDATA[advanced air mobility]]></category>
		<category><![CDATA[air traffic management]]></category>
		<category><![CDATA[aviation decision support]]></category>
		<category><![CDATA[BlueSky simulator]]></category>
		<category><![CDATA[GPT-4o]]></category>
		<category><![CDATA[hallucination]]></category>
		<category><![CDATA[Large Language Models]]></category>
		<category><![CDATA[NASA Ames]]></category>
		<category><![CDATA[prompt engineering]]></category>
		<category><![CDATA[Retrieval-Augmented Generation]]></category>
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					<description><![CDATA[NASA Ames researchers built an LLM-based aviation decision-support system that routes natural language queries through nine validated expert models, achieving up to 95 percent tool selection accuracy while curbing hallucination risk.]]></description>
		
		
		
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