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.
TypeSafe AI Jev: Built for Structured Decisions in Software
Jev, an AI model from TypeSafe AI, is designed for structured decisions inside software. It takes messy input, asks a bounded question, and returns a typed choice, score, or probability that your code can act on.
What if an AI model didn’t need to generate a paragraph to be useful? TypeSafe AI’s Jev is built for a different job: making structured decisions inside software. Give it messy input. Ask a bounded question. Get back a typed choice, score, or probability your code can act on.
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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.
