一款名为 Ling-2.6-1T 的新型万亿参数模型已由中国开源。据报道，该模型比一些流行的美国模型消耗的 token 更少，效率更高。其公开版本允许进行检查和基准测试，有可能缩小开放式和封闭式 AI 模型之间的差距。 AI
影响 增加了大型开源模型的可用性，可能降低了先进人工智能研究和开发的门槛。
排序理由 非前沿实验室发布的大型模型开源。
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中国开源 Ling-2.6-1T，一个万亿参数模型
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报道来源 [1]
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RT Hasan Toor：中国刚刚开源了一个万亿参数模型，其消耗的 token 比你最喜欢的“高效”美国模型还要少。Ling-2.6-1T 现在是...
RT Hasan Toor<br />China just open-sourced a trillion-parameter model that burns fewer tokens than your favorite "efficient" US model.<br /><br />Ling-2.6-1T is now public, inspectable, and benchmarkable.<br /><br />The closed-model moat just got smaller.<br /><video controls="co…