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タグ:llm-evaluation

llm-evaluation タグの付いた Jev GitHub プロジェクトを検索・並べ替えし、元のリポジトリを確認できます。

  • 🔥🔥 Papers, open reproductions and independent evaluations behind System One models and Jev.

    OmniJev/awesome-jev-gallery · JavaScript

    50232
    awesomeawesome-listcalibrated-probabilitiescalibrationdecision-modelllmllm-evaluation
  • Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.

    openlayer-ai/jevals · Python

    1029
    ai-agentsevaluationguardrailsllmllm-evaluationragas
  • Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。

    Zaious/jev-capability-atlas · Python

    276
    ai-agentsbenchmarkcalibrationllm-evaluationmachine-learningzh-tw
  • Typed decisions (choice / score / yes-no) from local Qwen models on Apple Silicon. Probabilities come straight from the logits, no text generation. TypeSafe-compatible HTTP API, runs on MLX.

    Micha0827/snapjudge · Python

    140
    apple-siliconclassificationdecision-makingfastapillmllm-evaluationlocal-llm
  • Independent, reproducible benchmark: a decision model (jev), eight constrained LLMs, and deterministic baselines on typed decisions - accuracy, calibration, latency, cost, failure modes

    nibzard/decision-model-benchmark · HTML

    110
    benchmarkcalibrationdecision-modelllm-evaluationreproducibilityhtml
  • Build and regression-test conversational state machines powered by Jev. Inspect decisions, capture failing conversations as tests, and export runnable TypeScript for your app.

    priyankark/jev-state · TypeScript

    80
    ai-agentscode-generationconversational-aideveloper-toolsevaluationllm-evaluationlocal-first
  • What can Jev actually do? Reproducible experiments and research reports exploring its capabilities and limits.

    keta1930/what-the-jev · Python

    81
    benchmarkdecision-modelevaluationllm-evaluation
  • A Jev-driven general-purpose agent harness for faster, lower-cost execution, with built-in side-by-side experiments against LLM-only agents.

    parkavenue9639/jevloop · Python

    70
    agent-runtimeai-agentsdockerllm-evaluationobservabilitypythonsandbox
  • Semantic assertions for pytest: test what your LLM app's output means, judged by TypeSafe's Jev.

    allebee/pytest-jev · Python

    71
    llmllm-evaluationpytestpytest-pluginpythontesting
  • Pre-registered independent eval of TypeSafe Jev against a nano-class LLM, a frontier LLM, and a supervised encoder (Banking77 + CLINC150 zero-shot)

    ickma2311/jev-baselines-eval · Python

    60
    intent-classificationllm-cascadellm-evaluationpreregistrationpython
  • An instrumented 2048 web lab where every move is a Jev (TypeSafe AI System One) Choice, with no heuristic fallback | 用 Jev 决策模型驱动每一步的 2048 网页实验台,概率、置信度、延迟与成本全部摊开可见,且刻意不做启发式兜底

    ARCJ137442/jev-2048 · TypeScript

    51
    2048llm-evaluationtyped-decisionstypescript
  • Practical agent skills and examples for building with Jev. API setup, routing, ranking, and evidence checks.

    laguagu/jev-skills

    31
    agent-pluginsagent-skillsclaude-codecodexevidence-verificationjavascriptllm-evaluation
  • Grade the agent sessions already on your disk. Claude Code, Codex, opencode, Gemini CLI and Antigravity, scored with Jev for cents.

    killerz3/jevalyzer · TypeScript

    30
    ai-agentsbunclaude-codeclicodexgemini-clillm-evaluation
  • Free English RAG benchmark for TypeSafe Jev 1.13 — frozen candidate pools, calibration, paired bootstrap CIs, $0 runs. Compared with OpenJev and NVIDIA cross-encoders.

    emretheus/jev-rag-benchmark · Python

    20
    benchmarkcalibrationinformation-retrievalllm-evaluationnvidiaopenjevrag
  • Jev vs GPT-4.1 as synthetic survey respondents on Twin-2K-500. How you ask mattered more than which model you used.

    jjd-lab/jev-synthetic-survey · Python

    20
    behavioral-economicsbenchmarkcalibrationdigital-twindigital-twinsllmllm-evaluation
  • Independent Jev / System One reference with API examples, implementation guidance and reusable prompts for engineers and coding assistants.

    sebastianbennis/jev-system-one-reference

    20
    ai-agentsapi-referenceclassificationcoding-assistantllmllm-evaluationprompt-engineering
  • Turn a pile of comments into an auditable distribution: Jev judges each item, code counts the percentages. React workspace + Python engine with pluggable data sources.

    adlternative/tally · Python

    20
    data-analysisi18nllmllm-evaluationpythonreact
  • Bulk decisions for AI agents. Jev classifies files and logs; your agent reviews exceptions. Reproducible cost and quality benchmarks.

    alsoleg89/decide · Python

    10
    ai-agentsclassificationclaude-codecodexcontext-engineeringllm-evaluationmcp
  • A Jev-powered quality gate for GitHub issues, pull requests, and commits.

    Bnymn1306/jev-github-quality-gate · TypeScript

    10
    ai-evaluationdeveloper-toolsgithubllm-evaluationquality-gate
  • Hands-on research lab for TypeSafe's Jev (System One model): reproducible benchmarks of Noul/Choice/Score primitives, confidence gating, fan-out latency, agent control — plus a living audit of the Jev ecosystem.

    llt22/jev-lab · Python

    10
    ai-agentsbenchmarkconfidence-calibrationevaluationllmllm-evaluationllm-observability
  • 发明 RLHF 的人,这次做了个不会说话的模型:Jev 独立研究报告。52 页 PDF + 50 条中文实测复现包 + 143 条可回溯数据表

    HackSing/jev-report · Python

    10
    pythonai-researchchinesellm-evaluation

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