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.
在这场 AI 硬件的寒武纪大爆发中，苹果看似反应迟钝，也确实在大模型、AI 落地上表现不太让人满意，可如果这套阳谋最终跑通，Eddy Cue 当年的那句豪言，或许真的需要微调几个字，才能跟上苹果的野心：，详情可参考一键获取谷歌浏览器下载
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