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.
Breaking Down Jev's Zero Hallucinations
This post notes that Jev's zero hallucinations occur because users configure the options (A/B/C) it can choose from, so it selects based on given criteria without hallucinating.
thought I would break down the zero hallucinations from jev where that is true, it's because you are configuring the things it can choose from. So it's saying: hey, based on the criteria you've given me, I'm going to choose option A, B or C. I'm not going to hallucinate but
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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.
