InfoQ 中文T2·85 pts
- Jev is the first 'System One' model designed for typed probabilistic decision-making, generating no natural language text.
- Outputs structured responses (Choice, Score, Noul) with probability distributions and confidence levels, enabling direct code execution or escalation logic.
- Trained using Reinforcement Learning for Calibrated Decisions, featuring ultra-low input costs ($0.042/M tokens), free outputs, and latency as low as 70ms.