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Re:33TB of text data for a 1T-parameter model by ris on Sunday April 16, 2023 @08:51AM (#35589598)
Something I've been thinking a lot about lately is the potential historical usefulness of LLMs which have been selectively trained on material from before a certain date, presumably resulting in a model exhibiting attitudes of the time in question. It would be extremely interesting to be able to ask for a 1950s take on a modern idea.

For this, large amounts of very old text would be extremely valuable.

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