this post was submitted on 25 Aug 2023
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Only very rarely, under extreme cases of overfitting. Overfitting is a failure state that LLM trainers want to avoid anyway, for reasons unrelated to copyright.
There simply isn't enough space in a LLM's neural network to be storing actual copies of the training data. It's impossible, from a data compression perspective, to fit it in there.