在自己的数据上评测 TypeSafe Jev 的准确率、概率校准和可用阈值
Jev ecosystem projects — page 137
5191 repositories with documented relationships and source evidence.
用 Jev(TypeSafe System One 决策模型)把上传的学习材料变成可自动判分的自助考试:逐得分点判定、置信门控、错题本与薄弱点。支持 DeepSeek / 智谱 GLM / 通义千问 / Kimi / OpenAI / Claude 等自带 Key。Self-exam generator and point-level grader built on a decision model.
examples
A Claude Code skill: an authoritative reference for TypeSafe AI's Jev, the "System One" model. You send it a state plus typed questions (Choice / Score / Noul) and it returns typed answers with calibrated probabilities. It doesn't generate text. The skill covers the API contract, primitives, confidence calibration and its quirks, where Jev is weak
975 PLC tag Expressions in Under a Quarter of a Second
Typesafe Jev (System One) feature demo — fixture-first CLI + JevClient; Jev proposes, code promotes.
No project description available.
Applications, measurements and boundary analysis built on TypeSafe Jev (System One): a Jev-driven fighting game, emotion-controlled TTS, and a capability-ceiling probe
MacOS organizer for images, PDFs and videos with TypeSafe classification and a searchable local dashboard.
Evaluate Jev (TypeSafe System One decision model) on GAOKAO-Bench objective questions - accuracy, confidence calibration and latency over 1497 Chinese college-entrance-exam multiple-choice questions
Allow Herdr command prompts with TypeSafe Jev.
TypeSafe Jev API gateway with official SDK compatibility and a simple ask endpoint, built for Vercel.
Lightweight local supervision and governance for AI coding agents, using deterministic checkpoints and sparse Jev evaluations.
No project description available.
Can a System One model (TypeSafe Jev, open-source Kev) replace an LLM-as-judge in agent guardrail callbacks?
Jev 实战手册:让 AI 只做判断题。从社区三千多个真实项目里挑出最值得学的 Jev 用法,按场景讲清楚。
A hearth for Jev, a non-speaking model that communicates the way non-speaking people do: we built an AAC word board for a decision engine.
Opt-in bounded Jev decisions for Pi through pi-mcp-adapter. Community MIT package with measured overhead and explicit privacy boundaries.
Jev decides; Claude, Grok, or any LLM only writes. TypeSafe Jev integration for routing, compaction, and cheaper agent turns.
Turn a jobs JSON file into a shortlist with TypeSafe Jev: explicit relevance criteria, source links preserved, uncertainty routed for review. Python and TypeScript.
Local job-search app — fetches live remote listings, scores each against your resume with the Jev model, and drafts cover letters for the real matches. Flask, SQLite.
Trying Jev. Lightning fast answers to questions about a profile.
Research and reliable, practical demos for TypeSafe AI's Jev model.
Six interactive sample apps for exploring Jev typed decisions, with demo fixtures and server-side TypeSafe API integration.