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Updated: Jun 23, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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为命名实体识别任务微调大型语言模型的样本大小考虑:方法论研究研究

Zoltan P Majdik1, S Scott Graham2, Jade C Shiva Edward2

  • 1Department of Communication, North Dakota State University, Fargo, ND, United States.

JMIR AI
|June 14, 2024
PubMed
概括

适度的样本大小有效微调生物医学命名实体识别 (NER) 的大型语言模型 (LLM). 训练数据密度是关键,质量可能超过容量以获得最佳性能.

关键词:
标注注释 标注注释利益冲突 利益冲突公开披露的信息.披露披露的信息.专家的注释 专家的注释精细调整 精细调整语言模型语言模型大型语言模型.机器学习是机器学习.命名实体认可 名称实体认可自然语言处理自然语言处理.一个样本样本样本的样本样本.样本的大小 样本大小声明 陈述 陈述 陈述 陈述陈述 陈述 陈述转移学习转移学习

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