{
 "schema_version": 1,
 "generated": "2026-10-20",
 "repo": "kyegomez/open-jev",
 "name": "open-jev",
 "owner": "kyegomez",
 "slug": "kyegomez-open-jev",
 "github": "https://github.com/kyegomez/open-jev",
 "what": "Open Jev is an untrained PyTorch research reconstruction of the ideas behind TypeSafe AI's Jev, which answers typed questions about nested state without generating text.",
 "why": "",
 "language": "Python",
 "requirements": [
  "Python 3.10 or newer (recommended in the README)",
  "git installed",
  "PyTorch 2.0 or newer",
  "Basic familiarity with running Python scripts from a terminal"
 ],
 "audience_note": "Written for ML engineers and researchers who want to study a typed, non-generative readout architecture, not for teams that need a working production model.",
 "risk": "none",
 "section": "earlier",
 "weekly_rank": null,
 "category": "Research",
 "url": "https://dedupedai.com/use-cases/kyegomez-open-jev/",
 "use_case_count": 3,
 "use_cases": [
  {
   "id": "kyegomez-open-jev--run-typed-readout-demo",
   "title": "Run the bundled demo to see typed readouts in action",
   "best": true,
   "url": "https://dedupedai.com/use-cases/kyegomez-open-jev/run-typed-readout-demo/",
   "json": "https://dedupedai.com/use-cases/u/kyegomez-open-jev/run-typed-readout-demo.json"
  },
  {
   "id": "kyegomez-open-jev--prototype-typed-questions-over-json-state",
   "title": "Prototype typed yes/no, choice, and score questions over JSON state",
   "best": false,
   "url": "https://dedupedai.com/use-cases/kyegomez-open-jev/prototype-typed-questions-over-json-state/",
   "json": "https://dedupedai.com/use-cases/u/kyegomez-open-jev/prototype-typed-questions-over-json-state.json"
  },
  {
   "id": "kyegomez-open-jev--experiment-with-rlcd-loss-targets",
   "title": "Test soft-target training with RLCDLoss on your own labels",
   "best": false,
   "url": "https://dedupedai.com/use-cases/kyegomez-open-jev/experiment-with-rlcd-loss-targets/",
   "json": "https://dedupedai.com/use-cases/u/kyegomez-open-jev/experiment-with-rlcd-loss-targets.json"
  }
 ],
 "disclaimer": "Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk."
}
