aionedge.Jev project · Benchmarks & research
typesafe-ai-benchmark
iammrduncan/typesafe-ai-benchmark
Compares Jev with other structured-output models on shared application tasks, recording errors, latency, Tokens, and estimated cost.
- GitHub stars
- 38 as of 2026-09-22
- Forks
- 5
- Language
- TypeScript
- License
- MIT
- Created
- 2026-09-16
- Last updated on GitHub
- 2026-09-19
- Added to AionEdge
- 2026-09-19
Built by this organization
iamMrDuncanWhat Jev does in typesafe-ai-benchmark
Maps the same tasks to Jev Choice/Noul questions and normalizes answers to a shared result format.
Verification
Verified. We confirmed this repository through the GitHub API and located the code that calls Jev at a pinned commit: view the Jev code ↗. Upstream code changes over time, so check that the file still exists at the current commit before citing it.
How Benchmarks & research projects use Jev
Benchmarks and research projects test Jev rather than just use it. They compare it with language models and other classifiers, check whether its probabilities are well calibrated, and explore where the decision-model approach breaks down.
Related Jev projects in Benchmarks & research
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Rust - jevifyaltryne/jevifyAn Agent Skill for finding suitable Jev decision points and designing questions and comparison experiments.★ 24
Python - jev-benchmarksAbdelStark/jev-benchmarksA benchmark comparing Jev and GLiNER on text classification, probability calibration and selective automation.★ 17
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jevcalabhixhek/jevcalA toolkit for evaluating Jev probabilities on labeled data, selecting confidence thresholds and checking model drift.★ 10
Python- jev-lmy0usaf/jev-lmA word-level generation experiment that asks Jev to select words or verify locally drafted continuations.★ 6
TypeScript - daf-jevdocxology/daf-jevA Python toolkit for Jev requests, batch evaluation, calibration and MCP access.★ 5
Python