Jev versus text-generating models
Jev does not generate free-form text. A side-by-side video compares parallel decision-making with token-by-token text generation.
What is RLCD and why is everyone dissecting Jev over it?
Explains RLCD in four points, covering how the evaluator becomes the interface and why this sparks widespread discussion about Jev.
What is RLCD, and why is everyone dissecting Jev over it? here i have tried to explain it in 4 points: 1. The evaluator becomes the interface In standard post-training (RLHF), a reward model sits backstage. Its only job is to grade text so the generator learns how to chat. RLCD
· 1 likesOpen on X
More like this
Pricing, evaluations, and the name Jev
The launch thread explains code-and-AI workflow evaluations, the input price announced at launch, and free output tokens.
Jev Model: Decision-Making Probability Generation, 200× Faster and 400× Cheaper Than LLMs
This model is built for decision-making rather than text generation, outputting probabilities for each option in parallel instead of token-by-token responses. The author shares a simplified comparison of normal LLMs versus this Jev model.
