AnyJev is an open research library that turns any open LLM into a Jev-style decision model, offering typed decisions, calibrated probabilities, training-free L0/L1 calibration, and benchmark comparisons against Jev.
该仓库是一个实质性的研究项目，实现并评测了Jev风格的决策模型（AnyJev），将任意LLM转换为带类型化决策和可靠概率的模型，并与TypeSafe AI的Jev结果进行对比，属于深入研究Jev/System One思路的技术资源。
JevalsJevals/jevals-dataIndependent benchmark data comparing TypeSafe AI's Jev (System One model) against LLMs on decision score, accuracy, calibration, cost, and latency for typed tasks.
NearCaiNearCai/JevLightA CityFlow-based traffic signal control framework that evaluates TypeSafe Jev and OpenAI-compatible LLM controllers alongside rule-based and reinforcement-learning baselines through the same simulation pipeline.
choxoschoxos/jev-reviewerUses TypeSafe AI's Jev/System One model (jev-1.13.0) to locate verbatim evidence in trial reports and supplements, supporting RoB 2, ROBINS-I, QUADAS-2 templates; files are processed locally in the browser.
