Jev is a structured decision model built for software
Typesafe introduced Jev, an early-access model that returns typed decisions instead of generating text, and the company reports it is up to roughly 200x faster on some published workflows.
my whole tl is filled with this, literally. typesafe just introduced jev, an early-access model designed for fast, structured decisions that software can use directly. the idea is pretty interesting, instead of another model mainly built around generating text, jev is focused on making fast, typed decisions that software can actually work with. typesafe reports that jev reaches similar performance to existing llms on its system one tasks, while being up to roughly 200× faster on some of its published workflows. those results are company-reported, though, and may represent the higher end of real-world gains. basically: llms that generate text → models that return typed decisions. the claims are pretty wild ngl. hoping for the best, but i’m really curious to see how jev holds up on independent benchmarks and real-world production workloads.