CalibratedDecisions.

Repo · Benchmarks & research

Jevlike

Explore training a small option-scoring model.

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How builders describe it

Train a small model that chooses among a changing list of text options, one probability per option in a single pass. Includes Doom, chess, and Wikispeedia demos.
Jevlike is an independent training starter for scoring a changing menu of text options in one pass. It explores a Jev-related input/output pattern without using official Jev.
A Jev-like architecture, reverse-engineered, to train your own.
An independent project training a Jev-like model that picks one from changing text candidates, using your own data. Not the official TypeSafe model.

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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