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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Flutter 让这一切变得格外轻松——一套代码库，覆盖所有平台：iOS、Android、Web 和桌面。如果你想更进一步，flutter_gemma 是开源的，我们始终欢迎贡献者。。谷歌浏览器【最新下载地址】对此有专业解读