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(CA) SinLlama -- A Large Language Model for Sinhala

SinLlama 模型增强 Llama 3-8B 以用于僧伽罗语任务

研究人员开发了 SinLlama,这是一种专为僧伽罗语设计的新型开源大型语言模型。通过使用僧伽罗语词汇增强 Llama-3-8B 模型并使用大量的僧伽罗语语料库进行训练,SinLlama 在文本分类任务上的表现优于其基础模型。这一发展标志着在为低资源语言提供先进人工智能能力方面迈出了重要一步。 AI

影响 为僧伽罗语提供增强的人工智能能力,解决了低资源语言支持方面的空白。

排序理由 该集群描述了一个针对低资源语言的新型开源 LLM 发布,详细介绍在一篇 arXiv 论文中。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

SinLlama 模型增强 Llama 3-8B 以用于僧伽罗语任务

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该集群描述了一个针对低资源语言的新型开源 LLM 发布,详细介绍在一篇 arXiv 论文中。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CL TIER_1 (CA) · H. W. K. Aravinda, Rashad Sirajudeen, Samith Karunathilake, Nisansa de Silva, Surangika Ranathunga, Rishemjit Kaur ·

    SinLlama -- 斯里兰卡僧伽罗语大型语言模型

    arXiv:2508.09115v5 Announce Type: replace Abstract: Low-resource languages such as Sinhala are often overlooked by open-source Large Language Models (LLMs). In this research, we extend an existing multilingual LLM (Llama-3-8B) to better serve Sinhala. We enhance the LLM tokenizer…