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Updated: Jun 16, 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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通过BERT语言模型改进投票咨询应用程序的设计

Daniil Buryakov1, Mate Kovacs2, Uwe Serdült2,3

  • 1e-Society Laboratory, College of Information Science and Engineering, Ritsumeikan University, Osaka, Japan.

Frontiers in artificial intelligence
|August 21, 2024
PubMed
概括

本研究介绍了一种人工智能系统,以帮助设计投票咨询应用程序 (VAA). 它使用机器学习来建议政策声明,使VAA创建更快,更少的偏见.

关键词:
语言模型语言模型开放数据是开放的数据.推者系统推者系统主题建模主题建模投票咨询申请 投票咨询申请

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