Unverified50% confidenceFactExact time
Jev's training method is called RLCD (Reinforcement Learning for Calibrated Decisions), which uses calibration as the optimization objective.
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50%
Confidence
Long-term
Relevance
10/3/2026
First Seen
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UnverifiedJev claims to use the RLCD training method.77% similarUnverifiedThe Jev team uses a new model architecture, a parallel sampler, and a training method called "Calibrated Decision Reinforcement Learning".75% similarVerified从预训练检查点到可商用产品需经历监督式指令微调（SFT）和基于人类反馈的强化学习（RLHF）两个后训练阶段74% similarUnverified后训练优化包括指令微调、RLHF或DPO策略调整、系统提示词工程改进及工具调用和多模态融合能力强化72% similarUnverifiedDuring RL training, more refined reward mechanisms or adversarial supervision can be introduced to detect and penalize suspicious encoding behavior.71% similar
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