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 vs Wave Models: Mapping Text Decisions and Machine Decisions
The post states that Jev handles text decisions while Wave models handle machine decisions, calling the text decision model a new category and mapping where each fits.
Jev decides about text. Our Wave models decide about machines. A decision model for text just became a category. Here is the map of where it fits, and where we do.
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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.
