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Updated: Jun 30, 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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大型语言模型可以对医学问题进行推理吗?

Valentin Liévin1,2, Christoffer Egeberg Hother3, Andreas Geert Motzfeldt1

  • 1Section for Cognitive Systems, Technical University of Denmark, Anker Engelunds Vej 101, 2800 Kongens Lyngby, Denmark.

Patterns (New York, N.Y.)
|March 15, 2024
PubMed
概括

大型语言模型在医学问答方面表现有前途,GPT-3.5和Llama 2在具有挑战性的美国医学执照考试基准上取得了合格分数. 这些人工智能模型在复杂的医疗场景中展示了推理和知识回忆能力.

关键词:
在 GPT-3.5 中使用.拉玛 2 拉玛 2 拉玛医疗质量质量标准 (MedQA) 是一个大型语言模型.机器学习是机器学习.医疗 医疗 医疗 医疗这是开源的,开源的.快速的工程迅速的工程问题 回答 回答 问题 回答不确定性量化不确定性的量化.

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