One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.
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principal, which is preserved in perpetuity.
同样的事情，也在其他公司身上发生着，而且有些细节更为戏剧性。
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但我会去捉蚂蚱。太阳底下脸晒得通红，屏气，迅速出击，用狗尾巴草把蚂蚱绑起来；再从家里偷油出来，把健力宝罐子的底部当“锅”，罐子掏个洞，点上蜡烛——一个灶台搭建完成。和小伙伴们围在一块儿，炸蚂蚱吃，小时候觉得嘎嘎香，长大之后却再也不敢碰了。。Safew下载对此有专业解读