jev-benchmarks

Name: jev-benchmarks
Availability: InStock
Author: AbdelStark

A benchmark comparing Jev and GLiNER on text classification, probability calibration and selective automation.

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Last updated: September 23, 2026

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git clone https://github.com/AbdelStark/jev-benchmarks.git

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jev-benchmarks

A benchmark comparing Jev and GLiNER on text classification, probability calibration and selective automation.

Where Jev makes the decision

Runs the same labeled text tasks through both backends and records probabilities, latency and failures.

Why it matters

Helps examine task-specific accuracy and whether confidence scores support chosen thresholds.

Claims & evidence

The author reports a 300-example pilot. Hosted Jev and local GLiNER timings are not hardware-normalized; this site did not rerun it.

About Jev

Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.

Source: AbdelStark/jev-benchmarks — 17 stars, Apache-2.0. Listed by Awesome Jev.

jev-benchmarks

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jev-benchmarks

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