I don't understand how this is different from oai "structured output" (and whatever the similar paradigm was on Sonnet ~3.7 back then) which everyone moved on from. On their gh they say:
"Jev is TypeSafe's closed service for runtime-defined semantic decisions. This project reproduces that interface pattern with open models; it does not reproduce Jev's undisclosed model or training"
As someone else pointed out it isn't actually Jev... can someone enlighten me
Yup. LLMs can do almost anything. Can they do it at the speed, cost and confidence of a model like Jev is a different story. In Jev output tokens are straight up free because it's not doing text token generations.
wuhhh · · focus · HN ↗
"Jev is TypeSafe's closed service for runtime-defined semantic decisions. This project reproduces that interface pattern with open models; it does not reproduce Jev's undisclosed model or training"
As someone else pointed out it isn't actually Jev... can someone enlighten me
mritchie712 · · focus · HN ↗
each "question" is answered in parallel instead of a sequential (like an LLM). so if you have an input like:
it answers is_it_hotdog and is_it_apple in parallel and gives a probability.satvikpendem · · focus · HN ↗
shados · · focus · HN ↗