相关实验视频

Updated: Sep 17, 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

Published on: December 6, 2024

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暴力死亡叙述的监督自然语言处理分类:一个紧的大型语言模型的开发和评估

Susan T Parker1

  • 1Feinberg School of Medicine, Northwestern University, 750 N Lakeshore, Chicago, IL, 60611, United States, 1 2487613116.

JMIR AI
|July 3, 2025
PubMed
概括

这项研究表明,紧的大型语言模型 (LLM) 可以使用非结构化数据预测暴力死亡情况. 充分的培训数据是关键,精细的语言提高了准确性,尽管在人口统计学方面仍然存在一些偏见.

关键词:
法学士 (LLM) 是一个专业.在NLP中,我们使用了NLP.验尸官报告说,这是一个很好的结果.信息学是一个信息学领域.伤害预防伤害预防大型语言模型叙事 叙事 叙事 叙事 叙事自然语言处理自然语言处理.警方报告 警方报告模拟模拟是指一个模拟模拟.文字分类 文本分类 文本分类暴力 暴力 暴力 暴力 暴力暴力的死亡暴力的死亡暴力伤害的伤害是一种暴力伤害.

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