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.
When the track ends—detected either via the ended event or via the stall watcher noticing the currentTime approaching durationit will collect chunks that are stitched together:。关于这个话题,heLLoword翻译官方下载提供了深入分析
Фото: Александр Манзюк / Коммерсантъ,推荐阅读91视频获取更多信息
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