OpenJev Verdict 2.0
It is a 151 million parameter non-autoregressive decision model, and the repository reports 77.10% accuracy, a Brier score of 0.0636 and an expected calibration error of 0.0144 on their typed-decisions set, which it says beats Jev and Laya.
CA clean typed decision with low volume or low value, or too vague to act on.1.81
Key facts
- Vertical
- Software & tech
- Function
- Agents & dev
- Status
- Seen in the wild
- Volume
- occasional
- Value
- minor
- Risk
- low
- Evidence
- built and shown
- Flags
- None
Build this with a classifier
Define a typed decision with a bounded answer, then evaluate it on examples.
{
"decision_type": "choice",
"question": "Does this input match the decision in “OpenJev Verdict 2.0”?",
"input": "<input to classify>",
"output": "one label from a fixed list"
}Related use cases
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