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English(EN) Neurograf v1: An End-to-End Romanian-First Language Model Family

Neurograf v1:罗马尼亚语优先语言模型家族发布

研究人员推出了 Neurograf v1,这是一个从头开始开发的语言模型家族,专注于罗马尼亚语。该实验性流程包括一个大型罗马尼亚语语料库、一个自定义分词器以及五个不同大小的仅解码器模型,同时还有指令微调的助手和嵌入模型。该研究强调了创建罗马尼亚语优先模型的可行性,并指出了该过程中的实际挑战,例如语料库质量和分词效率。 AI

影响 证明了为资源较少的语言训练专用语言模型的可行性,有可能实现更广泛的人工智能可访问性。

排序理由 该项目是一篇详细介绍新语言模型家族开发的学术论文。[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 →

Neurograf v1:罗马尼亚语优先语言模型家族发布

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该项目是一篇详细介绍新语言模型家族开发的学术论文。[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 English(EN) · Ionut Adrian Rotaru ·

    Neurograf v1:一个端到端的、以罗马尼亚语为先的语言模型家族

    arXiv:2610.13134v1 Announce Type: new Abstract: We present Neurograf v1, an experimental end-to-end Romanian-first language-model pipeline developed to investigate the feasibility of training language models from scratch for a lower-resource European language. The pipeline compri…