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Updated: Feb 14, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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微调阿拉伯语大语言模型以改善多轮对话:用于合成数据生成和基准测试的蓝图

Ahmed Mahmoud Misbah1, Mohamed Farouk2, Mustafa AbdulAzim1

  • 1College of Computing and Information Technology, Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt.

PloS one
|February 12, 2026
PubMed
概括

这项研究使用阿拉伯语LLM创建了一个大型的阿拉伯语对话数据集,显著提高了对话模型的性能. 这些发现为在不同环境中开发阿拉伯语对话AI提供了可扩展的方法.

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