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Jev_apps

Curated catalog of community Jev applications grouped by use, where each case explains the mechanism and states what the public evidence does and does not prove.

Stars
34
Language
Python
Published by
Community
Author
JackZeng
Last verified
Oct 2026

JackZeng/Jev_apps

User repository on GitHub

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看看 Jev 能做什么:用中英文讲清热门应用、工作原理和各自优缺点。Explore Jev apps with plain-language examples, explanations, and comparisons.

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0
Last pushed
Updated Sep 2026

Repo stats from the GitHub API, cached Oct 2026.

Highlights

  • Opens with six approachable cases covering browser operation, UI assembly, sponsor skipping, and task routing.
  • Categories span web and desktop control with per-group comparisons of what each setup can complete.
  • Every highlighted case carries an explicit evidence boundary, such as tooling versus model contribution.
  • Entries use evidence labels describing whether the public material makes the mechanism clear or leaves gaps.

Watch out

The maintainer states these applications have not been independently reproduced, so read it as a sourced survey. Copy reviewed against the repository README on 2026-10-04, not from running it.

Questions about this entry

Short answers drawn from the linked project or page.

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24GitHub stars
Unofficial laptop study of parallel constrained decoding: prefill once, share the KV cache across fields, and decide all schema fields in one batched forward pass without writing JSON.
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Offline evaluator that checks whether classifier confidences match reality and converts mistake costs into a deployable threshold, emitting an HTML report plus machine-readable threshold files.
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16GitHub stars
Vendor-neutral harness that tests whether Jev reranking improves a small RAG stack, using frozen hybrid BM25 plus BGE-M3 candidates and isolating retrieval, rerank, and generation stages.
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37GitHub stars
Minimal Python recipe that turns any causal LLM into a Jev-style classifier by prefilling choice_index and constraining sampling to legal indexes in one forward pass.
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39GitHub stars
Open replica of the typed decision API on openly available base models, answering choice, score, and true-probability questions in one forward pass with no decoding.
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13GitHub stars
Decision layer answering finite text, vision and voice choices with none-of-the-above probabilities and execute, confirm or reject policy, plus a JevPick speculative decoder.
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From the Jev guides

Original write-ups on what this entry is for.

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A Noul returns one number and no separate confidence. How to read the value, pin its boundary with criteria, split compound questions, and set a per-action threshold that matches the cost of being wrong.
Jev Practices & Patterns#noul#primitives#confidence
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A Score is a weighted position, not a ruler. Why the number can land between levels, why levels are judged separately, and how to combine several atomic scores in code instead of one crowded rubric.
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