this post was submitted on 22 Apr 2025
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If it was done with enough regularity to eb a problem, one could just put an LLM model like this in-between to preprocess the data.
That doesn't work, you can't train models on another model's output without degrading the quality. At least not currently.
No, that's not true. All current models use output from previous models as part of their training data. You can't solely rely on it, but that's not strictly necessary.
I don't think he was suggesting training on another model's output, just using ai to filter the training data before it is used.