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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，这一点在快连下载-Letsvpn下载中也有详细论述
即用型 Colab Notebook。业内人士推荐服务器推荐作为进阶阅读
Sketched out concepts, using Excalidraw[2]
The objects table contains the same bytes git would store on disk, and a set of SQL functions parse them into tree entries, commit metadata, and parent links that you can join against like any other table.