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Updated: Jan 11, 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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大型语言模型的比较准确性,稳定性和校正性在耳鼻喉学和药物监测中

Filippo Bruno1, Lise Sogalow1, Bertrand Blankert2

  • 1Department of Surgery, Research Institute for Language Science and Technology, University of Mons, Mons, Belgium.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
|November 18, 2025
PubMed
概括

与Gemini-1.5-Pro.相比,ChatGPT-4o和Claude-3.5-Sonnet在耳鼻喉科门诊护理中表现出优越的临床和药监性能. 尽管输出稳定,但反并没有提高诊断准确度,这表明这些大型语言模型 (LLM) 的短期可纠正性有限.

关键词:
大型语言模型准确度 准确度 准确度 准确度 准确度人工智能的人工智能是人工智能.头部部手术 手术 头部部手术耳鼻喉科 耳鼻喉科 耳鼻喉科耳鼻喉科 耳鼻喉科 耳鼻喉科稳定的稳定性 稳定的稳定性

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