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 Model: Returns Structured Decisions Instead of Generating Text
Jev is a different kind of AI model: given a situation and typed questions, it returns structured decisions — Choice, Score, or probability — instead of generating prose. This makes it especially interesting for AI agents like tool routing and scoring.
LLMs generate. Jev decides. Jev is a different kind of AI model: give it a situation and typed questions, and instead of generating prose, it returns structured decisions — Choice, Score, or probability. That makes it especially interesting for AI agents: routing tools, scoring
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Pricing, evaluations, and the name Jev
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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.
