Automated README summary
Automatically summarized from the README on 20 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
jevbetter is a from-scratch Python one-pass option scorer: given a context and a variable list of text options, it returns one probability per option. It targets routing, ranking, open-label classification, and game controllers.
How it uses Jev
It is a Jev-like model, not Jev itself. It scores each option in a single forward pass using a hashed n-gram encoder, rival-aware attention among options, and a gated MLP head, then a temperature-scaled softmax yields probabilities. The README does not describe using the actual Jev model or its API.
Technique worth stealing
Rival-aware attention: options attend to each other before scoring, so near-miss alternatives sharpen the call.
Try it
pip install -e '.[dev]', then jevbetter-data, jevbetter-train, jevbetter-eval, jevbetter-predict.
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectFound in material0.70
- Shows a System One patternnot found in the excerpt0.19
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.15
- Is a runnable toolnot found in the excerpt0.33
- Top-10 learning shortlist signalunclear0.40
- Is a replica of the modelFound in material0.97
- Solves a common problem (0–2)score on a 0–2 scale1.03 / 2
- About JevFound in material0.88
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 20 Sept 2026.