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Updated: Jan 8, 2026

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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一个零射击的LLM框架,用于多式联络投诉分类,紧急性评分和在公民反系统中滥用检测

S C Rajkumar1, D Yuvasini2, Shitharth Selvarajan3,4,5

  • 1Department of Computer Science and Engineering, Anna University Regional Campus Madurai, Keelakuilkudi, Madurai, Tamil Nadu, 625019, India.

Scientific reports
|December 16, 2025
PubMed
概括

这项研究引入了一种统一的公民不满补救模式,改进了AI的投诉处理. 它在路由,紧急估计和用于各种公民环境的滥用检测方面实现了高精度.

关键词:
公民参与 公民参与申诉纠正 申诉纠正大型语言模型 (LLM)多式联络AI 多式联络AI情绪分析是一种情绪分析.有毒性检测检测有毒性的检测.零射击分类的分类是零射击.

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