#jev

Author: Rasik Rahman S (@rasikbuilderaws), AI/ML Engineer at ShellKode, AWS Partner Builder...

Where small decision models like Jev fit next to the LLM in a phone voice bot, with six patterns from real projects.

Code on GitHub: LAMDiceBot, deguri, CrazyArcadeCopy. Live apps at lamdice.com and deguri.ai.kr. More...

코드는 GitHub LAMDiceBot·deguri·CrazyArcadeCopy에, 앱은 lamdice.com과 deguri.ai.kr에서 볼 수 있다. 더 많은 글은...

Recently, TypeSafe launched Jev, the first of what people are calling System One or decision models:...

I build a small site where people play heads-up hold'em against AI models. Inside it, I measured...

Set up Clef Flash locally, choose a hardware-compatible runtime, and compare ten local checkpoints with hosted Jev using our published technical report.

Vercel's AI Gateway data reveals rapid adoption for Jev, a lightweight model by Typesafe AI designed for fast and cost-effective data classification using

Ask an LLM to label 30 product reviews and you'll get 30 answers that all sound equally sure of...

When an AI agent needs an answer that lives a few clicks deep on a website, there are two common ways...

The open re-implementations of Jev split into three readout families. JevBench ranks Kev-4B 37th, behind decider-4b and a stock Qwen readout, but on my own panel decider-4b only ties Kev-4B (0.556 against 0.555 coverage at 5% error) and the stock Qwen readout covers 0.091.

From 23 September to 12 October I tried to match TypeSafe's Jev with open models. Every 4B to 9B model I scored lands at 0.550 to 0.557 coverage at 5% error on the same 1,046 questions, and nothing I built under 1B got past Kev-0.8B's 0.276.