#laya

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.

Originally published on andrew.ooo — visit the original for any updates, code snippets that aged...

What happened when I tried a model that doesn't generate text at all I spend a lot of...

TL;DR: Jev (TypeSafe AI) and Laya (Convai Innovations) are decision models: instead of generating...

I went into this expecting the RL to be the interesting part. Laya's whole pitch is that a reinforcement-learning term turns noisy logits into calibrated...

Laya brings fast, structured decision-making to AI workflows with typed outputs for classification, scoring, and yes/no predictions. This deep dive examines its architecture, benchmarks, limitations, fine-tuning, and comparison with Jev.