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Updated: Sep 17, 2025

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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基于ML模型和LLM模型的各种数据类型的威胁分类优化.

Chaerim Hong1, Taeyeon Oh2

  • 1Seoul AI School, aSSIST University, Seoul, 03767, South Korea.

Scientific reports
|July 2, 2025
PubMed
概括

这项研究整合了机器学习 (ML) 和大型语言模型 (LLM),通过分析安全新闻和源代码来检测网络安全威胁. 该框架有效地识别漏洞,提高检测准确性和减少错误阳性.

关键词:
代码的弱点是代码的弱点.数据偏差是一种数据偏差.大型语言模型.机器学习 机器学习邮报新闻 邮报新闻 邮报新闻安全方面的弱点 安全方面的弱点

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