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Updated: Sep 13, 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

684

在IMVCAs中使用基于LMM的代理进行可靠的QOE预测

Michael Sidorov1, Tamir Berger1, Jonathan Sterenson1

  • 1School of Electrical and Computer Engineering, Ben Gurion University of the Negev, Be'er Sheba 8499000, Israel.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
概括

互联网服务提供商现在可以通过机器学习推断视频通话质量. 通过分析WhatsApp流量,这项研究准确地预测了BRISQUE,PIQE和FPS等体验质量 (QoE) 指标.

关键词:
大型多式联运模型通过加密流量来实现加密流量.机器学习是机器学习.经验的质量体验的质量.通过视频会议进行视频会议.

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