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 Confidence Scores and Hybrid System 1/System 2 Decisions
Shares a hybrid approach using Jev for fast System 1 decisions and leveraging its confidence score to fall back to a smarter System 2 model when needed.
I used this hybrid approach in the demo below. The useful part is that Jev gives us its confidence score, which is a good signal to handoff the task to a larger model if needed. You use Jev for quick and fast system 1 decisions and fall back to a more intelligent slower system 2
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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.
