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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据要求匿名的消息人士透露，殷拓已聘请投资银行Arma Partners接触一批私募股权投资者，探讨出售SUSE的可能性。消息人士称，目前讨论尚处于早期阶段，殷拓是否会进行交易尚无定论。