jevPOST
Why Jev is getting attention: a zero-shot classifier that skips labeling and fine-tuning
The author argues Jev stands out because nearly every company needs cheap, fast classifiers, and Typesafe's zero-shot approach makes labeling chat data cheaper with no per-use-case fine-tuning.
yenkel
@yenkelArchived 2026.09.18Originally posted 2026.09.17
yenkel @yenkelOriginally posted 2026.09.17
Jev is big and everyone talks about it because almost all companies have use cases for cheap and fast classifier @CompleteSkeptic and the @typesafeai team just built a zero shot one and shipped, which means: labeling chat data costs less, fine tuning per use case is not needed
x.com/yenkel/status/2100340276279554429Archived 2026.09.18 10:16