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.
不得不说，在堆配置这一块，零跑还是一如既往地狠。
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19:56, 27 февраля 2026Ценности
小鹏发 2026 开工信：自动驾驶、机器人与全球化全面加速