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's Async Split: Planning While Selecting Actions
VertrAI uses a 105-second video to demo Jev's async split: planning continues while Jev selects the next action, explaining the roles involved.
The useful engineering lesson is the async split: planning can continue while Jev selects the next action. That makes sense without assuming it proves AGI. We explain the roles using this demo in our 105-second video:
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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.
