Repo · Benchmarks & research
AnyJev
Turn any LLM into a Jev-style decision model, with no training.
Open github.com ↗How builders describe it
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating).
Turn an open LLM into a Jev-style typed decision model (Choice/Noul/Score with probabilities) via position-debiasing and optional calibration/heads—no TypeSafe hosted Jev and no fine-tune required for L0. Distinct from any MorrisZJ/AnyJev fork; independent of official Jev weights.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 332 benchmarks & research projects →
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