CalibratedDecisions.

Repo · Benchmarks & research

openjev (lookski)

Local open decision engine: turn any small LLM into a Jev-shaped typed-decision API via masked-logit softmax—independent of hosted TypeSafe Jev.

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From the repository

Open decision engine: type-safe answers with raw softmax probabilities from a local LLM or any OpenAI-compatible API. Crush radar for WeChat/QQ/Telegram chats - verdict + next-move advice. | 开放决策引擎: 本地 LLM 或任意 OpenAI 兼容 API, 原始 softmax 概率 + 类型安全回答. 微信/QQ/Telegram 追人雷达: 冲/稳/缓/停 + 下一步建议.

classificationdecision-modelhugging-facejevllmllm-inferencelocal-llmsoftmaxsystem-onetransformers-jstypesafewebgpuyin-yang

How builders describe it

Open decision engine: type-safe answers with raw softmax probabilities from a local LLM or any OpenAI-compatible API. Crush radar for WeChat/QQ/Telegram chats - verdict + next-move advice. | 开放决策引擎: 本地 LLM 或任意 OpenAI 兼容 API, 原始 softmax 概率 + 类型安全回答. 微信/QQ/Telegram 追人雷达: 冲/稳/缓/停 + 下一步建议.

The decision Jev makes

Benchmark questions with known answers, to check accuracy and confidence.

Where it fits

Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →

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