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Updated: Jun 29, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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评估基于人工智能的工具在检测和理解睡眠健康错误信息方面的有效性:使用Google Bard和OpenAI ChatGPT-4进行比较分析

Sergio Garbarino1,2, Nicola Luigi Bragazzi1,3,4

  • 1Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal, Child Sciences (DINOGMI), University of Genoa, Genoa, Italy.

Journal of sleep research
|April 5, 2024
PubMed
概括

在揭穿睡眠神话方面,谷歌巴德的准确性比ChatGPT-4 (85%) 高 (95%). 巴德的回复更容易获得,突出了AI在睡眠健康教育中的潜力.

关键词:
生成式对话式人工智能 人工智能公共卫生教育 公共卫生教育可靠性分析可靠性分析睡眠障碍 睡眠障碍 睡眠障碍睡眠健康 睡眠健康与睡眠有关的虚假神话文本挖掘 - 文字挖掘

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