相关实验视频

Updated: May 15, 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

466

MMAgentRec是一个个性化的多模式推代理,具有大型语言模型.

Xiaochen Xiao1

  • 1IEEE Publication Technology Group, Piscataway, NJ, USA. rx_7811@qq.com.

Scientific reports
|April 8, 2025
PubMed
概括

这项研究引入了一种先进的多式联络推系统,该系统将大型语言模型 (LLM) 与交叉注意力和多图形神经网络集成在一起. 该系统有效地应对了解用户意图和数据稀缺性的挑战,在准确性和用户体验方面超过现有方法.

关键词:
交叉注意力交叉注意力交叉注意力智能推生成智能推生成大型语言的模式.多种代理相互作用的相互作用.多图形卷积网络是多图形卷积网络.关于多式联运的建议强化学习是一种强化学习.一个重复网的重复网.

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