What Is RLCD? The Secret Behind Jev
5 hours ago
- Jev is a preference model generalized to a software interface, not a language model.
- RLCD extends PPRM (Pairwise Preference Reward Model) to multiway decisions using Plackett–Luce.
- Calibration via Brier score and temperature scaling makes probabilities empirically reliable.
- Jev provides typed primitives (Noul, Choice, Score) for binary, multiway, and ordinal decisions.
- Parallel inference is achieved by sequence packing and tree attention, avoiding autoregressive generation.
- The decision head computes utilities from contextual representations, enabling multi-candidate scoring.
- RLCD focuses on calibrated distributions over actions, distinct from RLHF/RLVR which emphasize reward sources.
- The system decomposes into RLCD for learning and packing/masking for efficient serving.