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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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具身智能赛道的资本热浪也加速传导至消费市场。春晚让许多人见识了机器人的灵动与趣味，也激活了大众的体验热情；面对动辄数十万元的售价，“租赁”正成为普通消费者、中小企业低成本体验机器人的最佳渠道。，详情可参考下载安装汽水音乐
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