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.
Jev Is More of a Classifier Than an AI Model
After a week of study, the author suggests viewing Jev as a classifier that takes options and returns odds for each—no text, just numbers.
After studying Jev for over a week, i think the best way to picture it is more of a classifier than an AI model. all it does is take your options and hand back the odds on each. no text, just the numbers. here's the whole idea in one picture.
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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.
