腾讯科技论文解读专栏，在代码与商业的交汇处，寻找AI的确定性。文｜博阳编辑｜徐青阳近期，谷歌的 Nested Learning 引发了一场模型界的记忆地震。很多人重新意识到，大模型不必永远是“训练完就封存”的只读权重，它也可以在推理过程中继续变化。在 Nested Learning 里，当模型读到新的上下文时，它不只是把文本塞进注意力的缓存里临时翻找，而是允许自己在推理过程中更改参数，让新信息变成...
Source Link腾讯科技论文解读专栏，在代码与商业的交汇处，寻找AI的确定性。文｜博阳编辑｜徐青阳近期，谷歌的 Nested Learning 引发了一场模型界的记忆地震。很多人重新意识到，大模型不必永远是“训练完就封存”的只读权重，它也可以在推理过程中继续变化。在 Nested Learning 里，当模型读到新的上下文时，它不只是把文本塞进注意力的缓存里临时翻找，而是允许自己在推理过程中更改参数，让新信息变成...
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