brooksy

3 ms·

1. 1.▲
   by brooksy 10d ago

   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 still hallucinate in the sense that for out-of-distribut
2. 2.▲
   by brooksy 10d ago

   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 probability of a single question/action
3. 3.▲
   by brooksy 10d ago

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