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.
Turn Open-Source LLMs into Jev-like Fast Decision Models
Explains how to turn low-cost open-source LLMs into Jev-like fast decision models without training, and how LLMs score vocabulary to pick the next word.
you can turn any low-cost open-source LLM into a Jev like fast decision model without training it. Here's how to do it: An LLM doesn't write text directly. At every step it scores every word in its vocabulary for how likely that word is to come next, and then it picks one. Those
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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.
