在第二十八届北京科博会上，西藏大学研发的“DeepZang”大模型成为焦点，它能“听懂”藏语并以藏语思维创作。这标志着AI在多语言处理上的突破，加速了少数民族语言融入全球数字化浪潮，解决了以往大模型对藏语等语言处理不足的问题。
西藏发布千亿级藏语大模型“阳光清言”V1.0，由院士尼玛扎西宣布，标志西藏AI从应用迈向系统性研发。目前AI已广泛用于政务、社区、公共服务及生态科考等领域，推动技术本土化发展。
全球海拔最高大语言模型“阳光清言”V1.0在西藏发布，参数量超千亿，训练语料达288亿Token，覆盖多领域，填补藏语AI空白。响应国家AI+行动，拉萨社区和贡嘎机场已接入AI客服与翻译服务。
东北大学“小牛翻译”团队开源NiuTrans.LMT大模型，实现60种语言、234个翻译方向全覆盖。以中英双核心构建语言桥梁，在藏语等29种低资源语言上取得突破，打破传统英语霸权，推动全球语言平等。
shajiu
基于Llama2-7B架构的藏语词汇扩展模型，通过持续预训练策略增强藏语处理能力
facebook
Meta公司开发的藏语中部方言文本转语音模型，基于VITS架构，支持高质量语音合成
Helsinki-NLP
这是一个基于Transformer架构的多语言翻译模型，支持从英语到多种汉藏语系语言的翻译任务。
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