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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.。关于这个话题，51吃瓜提供了深入分析
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据悉，苹果公司与高通公司在新的职位招聘要求中，都明确列出了需要英特尔的EMIB 与Foveros 等先进封装技术经验，显示多家大厂正寻求CoWoS 以外的替代方案。。一键获取谷歌浏览器下载对此有专业解读