Description

Jev is a 'System One' model designed for autonomous software decisions rather than human chat, utilizing a new architecture called Reinforcement Learning for Calibrated Decisions (RLCD). It produces structured, typed outputs with calibrated confidence estimates, aiming for zero hallucinations and significantly lower latency than traditional LLMs.

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