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.
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.

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 682 benchmarks & research projects →

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