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I have been thinking a lot lately about “diachronic AI” and “vintage LLMs” — language models designed to index a particular slice of historical sources rather than to hoover up all data available. I’ll have more to say about this in a future post, but one thing that came to mind while writing this one is the point made by AI safety researcher Owain Evans about how such models could be trained:。关于这个话题，safew官方版本下载提供了深入分析
在河南省延津克明面粉有限公司的化验室，工作人员正在用专业仪器测定小麦的面筋含量、面团稳定时间等。公司负责人宋利刚把麦子摊在手心细看，又放进嘴里嚼一嚼，“麦子颜色偏深，硬硬的，嚼着有韧性，一准是强筋麦。”很快，仪器测定结果出来，湿面筋含量32%。。safew官方下载对此有专业解读
* 时间复杂度：O(len1 + len2)，空间复杂度：O(len2)（栈+Map的空间）