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English(EN) Agaram 2.5B: The First Tamil-First Language Model Trained from Scratch with Tool Calling. A Playbook for Under-Represented Languages

新推出的泰米尔语优先大语言模型 Agaram 2.5B 具备工具调用能力

研究人员开发了 Agaram 2.5B,一个专门为泰米尔语设计的新语言模型,该模型在以泰米尔语文本为主的数据集上从头开始训练。与现有的印度语言模型相比,该模型在翻译能力上有所提升,并且能够以高精度执行工具调用。虽然它在语言任务上表现出色,但其知识和理解基准测试表明未来仍有改进空间。 AI

影响 此次发布为开发泰米尔语和其他代表性不足的语言的 AI 应用提供了宝贵的资源,有望加速本地化 AI 的发展。

排序理由 该项目是一篇研究论文,详细介绍了为代表性不足的语言创建和评估新语言模型的过程。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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

新推出的泰米尔语优先大语言模型 Agaram 2.5B 具备工具调用能力

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该项目是一篇研究论文,详细介绍了为代表性不足的语言创建和评估新语言模型的过程。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Ramchand Kumaresan, Madhusudhanan G, Kaushik Kezendirane ·

    Agaram 2.5B:首个从头开始训练并支持工具调用的泰米尔语优先语言模型。一份代表性不足语言的行动指南

    arXiv:2610.18420v1 Announce Type: cross Abstract: We trained Agaram 2.5B, a 2.5-billion-parameter Tamil-English language model, from scratch on about 50 billion tokens (58% Tamil, the rest English, math, code and parallel text) on one node of eight H100 GPUs in about six days, wi…