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It doesn't produce text -> it does not hallucinate statements This is kind of trivially satisfied and they make this sound more extraordinary than it is. Also I suppose it can stil…

For certain tasks, a model like Jev may be intrinsically more efficient than an LLM because it doesn't have to predict a token distribution and can instead focus solely on the prob…

Essentially, although LLM token probabilities tend to be miscalibrated (mostly bc of posttraining). Jev is meant to be particularly calibrated