相关实验视频

Updated: Jan 9, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

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临床大语言模型评估通过专家审查 (CLEVER):框架开发和验证

Veysel Kocaman1, Mustafa Aytuğ Kaya2, Andrei Marian Feier1

  • 1John Snow Labs Inc, 16192 Coastal Highway, Lewes, DE, 19958, United States, +1 (302) 786-5227.

JMIR AI
|December 4, 2025
PubMed
概括

一种新的评估方法CLEVER表明,一个专门的小型LLM在临床任务中表现优于GPT-4o. 这突显了医疗应用中医疗专用大语言模型 (LLM) 的潜力.

关键词:
在NLP中,我们使用了NLP.人工智能的人工智能是人工智能.临床相关性临床相关性评估框架 评估框架事实上的事实性.生成型的人工智能大型语言模型.医学LLM 医学LLM 医学LLM自然语言处理自然语言处理.

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