openvons

What Jev does in openvons

The project describes itself this way: Openvons (open-Jev): 有限選択肢に確率で答える判断層 — テキスト / 画像 / 日本語音声コマンド. In the Benchmarks & research category, Jev typically decides labels and probabilities on fixed test sets, so accuracy, calibration and latency can be measured.

Verification

Verified. We confirmed this repository and its Jev relevance through the GitHub API and the source lists below. A specific file link has not been recorded yet.

Topics

• calibration
• decision-model
• japanese
• speech-recognition
• voice-commands
• whisper

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

1. jevcalabhixhek/jevcalA toolkit for evaluating Jev probabilities on labeled data, selecting confidence thresholds and checking model drift.★ 10
   Python
2. jev-benchmarksAbdelStark/jev-benchmarksA benchmark comparing Jev and GLiNER on text classification, probability calibration and selective automation.★ 17
   Python
3. jev-lmy0usaf/jev-lmA word-level generation experiment that asks Jev to select words or verify locally drafted continuations.★ 6
   TypeScript
4. daf-jevdocxology/daf-jevA Python toolkit for Jev requests, batch evaluation, calibration and MCP access.★ 5
   Python
5. jev-little-airwayslbotinelly/jev-little-airwaysAn island-airport simulator using Jev for routes, yielding, emergency broadcasts and landing order.★ 5
   HTML
6. jev-does-not-play-diceKantaHayashiAI/jev-does-not-play-diceExperiments on Jev’s probability calibration, uncertainty reporting, and forecast probability preservation.★ 4
   JavaScript

See all 107 Benchmarks & research projects →

Where we found it

• heyjunpenn/awesome-jev