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Updated: Jan 10, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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对于临床数据提取,QLoRA达到接近LoRA的准确性,同时需要较低的计算资源

Prabin R Shakya1, Ayush Khaneja1, Kavishwar B Wagholikar1,2

  • 1Massachusetts General Hospital, Boston, MA USA.

medRxiv : the preprint server for health sciences
|November 24, 2025
PubMed
概括

在量化大语言模型 (LLM) 上的参数高效微调 (PEFT) 保持了临床数据提取的准确性,同时显著降低了计算需求. 这使得资源有限的医疗保健团队可以使用先进的AI.

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