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:
一文搞懂深度学习的反向传播与优化理论!
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在大多数看不见的地方,能够同时具备以上三条的银发人群,实则是少数。