Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
jev-label
Prioritize human labels with active-learning strategies, durable review history and clean holdout evaluation.
Project facts
- Relationship to Jev
- Research
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-21
- GitHub stars
- 0
- Evidence checked
- 2026-09-24T08:40:10.508Z
- Metadata checked
- 2026-09-24T08:40:10.508Z
- Check status
- current
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
Set `TYPESAFE_API_KEY` before a reviewed prelabel adapter sends paid requests to `api.typesafe.ai`. The alpha transport is unwired; `python scripts/live_smoke.py` makes zero calls. Demo probabilities are synthetic.
Evidence commit: 2d1f24d5cdcd7c2ca48479e8c32f117234fb59be
Discovered through: github-search.
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