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.
4 things to do when you get access to Jev: let Jev make the small choice first
Advice: don't replace your model with Jev, put Jev in front of it. Jev makes the small choice first, and your expensive model only runs when really needed. One email tool swapped 2 AI calls per email for 1 Jev call and kept all their normal functionality.
4 things to do when you get access to Jev: 1. don't replace your model, put Jev in front of it Jev makes the small choice first, and your expensive model only runs when it's really needed one email tool swapped 2 AI calls per email for 1 Jev call, and kept all their normal
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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.
