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.
// 简化版：每个值一个桶（退化为计数排序）。heLLoword翻译官方下载对此有专业解读
有时是关于今天的天气、自己睡不好的原因，有时是随手听到、看到的年轻人话题，她问过豆包“原神、包的，都是什么意思”。
writeSync(chunk) { addChunk(chunk); return true; },，更多细节参见safew官方下载