AutoTrust's AutoTrust-JEV Turns AI Decisions Into a Single Token at 97% Accuracy

AutoTrust's 27B decision model outputs calibrated option probabilities instead of free text, topping tool selection and intent classification benchmarks.

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2026-11-12 15:34 · AlphaSignal
AutoTrust's AutoTrust-JEV Turns AI Decisions Into a Single Token at 97% Accuracy

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92.2% vs 90.0%: Google's decision API edges out Jev — DEV Community — Machine Learning
Google reportedly pursuing decision models in latest AI push — The Deep View
Gemini Decision 1 vs Jev 1.14: Evaluate the Routing Policy, Not One Score — DEV Community — AI
Update: Google just released their very own Decisions API. I will have to check how it goes against Jev for zero-shot work. https://blog.google/innovation-and-ai/technology/developers-tools/gemini-decisions-api/ — DEV Community — AI
Jev Creator Urges Developers to Automate Everything at AI Engineer Code Summit — Latent Space
AutoTrust AI's JEV-35B Replaces Routing Pipelines With Single 204ms Decision Model — AlphaSignal
Tutorial shows building a Jev-style decision model that adapts to new labels without retraining — Towards Data Science
Scikit-Learn calibration matches or beats Jev's approach on BANKING77 benchmark — Towards Data Science

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