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| | AGI新战场，杀出个中国LimiX-2赢了又赢 | | | 量子位 ｜ 2026-09-19 | | | |
| 声明： 本消息或因风格和篇幅原因进行过编辑，但未经核实，也不代表我们的立场、观点或建议。如有侵权，联系秒删。[ 使用条款 ] |
scroll 0 1 这两年，AI赛道越来越热。
大语言模型LLM（Large Language Model）在卷得飞起的同时——
另一条结构化数据侧的AI路线LDM，也突然开始涌进各类型头部玩家。
LDM（Large Data Model），即结构化数据基础模型，其瞄准的是生产侧的核心痛点：即如何让基础模型直接学习不同结构化数据中的变量关系、条件关系和生成机制。
到底有多火呢，这么说吧！
像咱熟悉的美国Google、Amazon，德国企业软件巨头SAP等玩家纷纷下场布局～
不过，谁成想呢，巨头们刚涌进LDM抢位，一支中国团队已经先把榜首坐成了「固定席位」。
9月15日，德国软件巨头SAP抢发TabPFN-3.5，几小时后（9月16日），一支由清华博士组成的团队，用一个400M参数的结构化数据基础模型——
直接拿下了TabArena、TALENT、BCCO三个国际主流基准测试中二分类、多分类、回归等各项任务的「第一」，呈现断层领先：
 | 点
击
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△官方TabArena榜单
不卖关子，这个把谷歌等一众大厂按在地上摩擦的，就是「稳准智能」刚刚发布的：LimiX-2。
值得一提的是，这也不是稳准智能第一次把LDM做到国际头部了。
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AGI新战场，杀出个中国LimiX-2赢了又赢
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