Jev and System One Models: Calibration Beats Accuracy
What Jev is, without the marketing # Link to section: What Jev is, without the marketingJev is built around three ideas, per TypeSafe’s launch post:Non-autoregressive output.
Why calibration, not accuracy, is the real bottleneck # Link to section: Why calibration, not accuracy, is the real bottleneckHere is the part of my own paper I keep coming back to.
The interesting comparison is three-way: classical tabular model, LLM-as-classifier, and Jev, on the same task, on accuracy, ranking, calibration, latency and cost.
Whether Jev delivers on the calibration promise is an empirical question.
If you have Jev access and a labeled classification dataset with a known calibration problem, I would l…
1 час назад @ kartikpansuriya.com
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