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's Jev: Decisions, Not Strings
Introduces TypeSafe AI's Jev model: given state and typed questions, it returns structured decisions with probabilities instead of generating text.
I just came across Jev from TypeSafe AI, and the idea is pretty interesting. Most AI models are built to generate text. Jev takes a different approach: Decisions, not strings. You give it some state + typed questions. It returns structured decisions with probabilities and
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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.
