Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.

Jev is described as a classification/decision model for software: instead of conversing, state plus fixed questions go in and typed probabilities come out. The author asks if anyone has wired it into interesting applications.
What is Jev (JEV)? Think of it as a classification/decision model for software. One doesn't converse with it like an LLM. Instead, State plus fixed questions go in and typed probabilities come out. Anyone wiring Jev into anything interesting yet?