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迪奧戈·阿梅達介紹 Jev,這是 TypeSafe 的結構化決策模型。觀看推出影片,並探索原始主題以了解模型的方法、範例和作者報告的效能。
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Recent activity迪奧戈·阿梅達介紹 Jev,這是 TypeSafe 的結構化決策模型。觀看推出影片,並探索原始主題以了解模型的方法、範例和作者報告的效能。
TypeSafe 的正式推出公告介紹了實驗室,並引導開發者使用 Jev。包含迪奧戈·阿梅達的推出影片和原始介紹。
TypeSafe 宣佈 Jev 無需等待名單即可公開使用。官方控制台是將類型化決策應用於自己應用程式的起點。
TypeSafe 強調 Jev 的類型輸出方法:應用程式提供狀態和問題,然後根據機率、選擇或分數進行操作。連結的公告也涵蓋了威尼斯 API 集成。
Start with the Launch Post. Explore four official signals.
95 項資源
AI-assisted summaries and translations. Check original sources for context and performance claims.
Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
JEVLAB ARTSource-linked curation
A spatial reference explorer for creators. Local Jev query choices, metadata highlights and source-linked collections.
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A chatbot built on a model that cannot generate text (TypeSafe AI's Jev, driven autoregressively).
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Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines.
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Replicating Jev with a local LLM.
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AI benchmark on Japan's 2026 Common Test: Jev vs luna-none vs luna-low (static dashboard).
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Jev-compatible System 开源Jev.
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Ongoing Japanese research deck on Jev and System One models, maintained as Markdown slides.
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PadFlow(土地開發SaaS)的類型決策基準測試:模式、匿名標記資料行及用於信心校準模型的執行器。
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Stop guessing confidence thresholds: calibrate, threshold, and drift-check typed decision models (TypeSafe Jev) against an LLM teacher.
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A research project auditing Jev's performance with the Spanish language.
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Vercel Labs terminal CLI that can run Jev as the evaluation model for its evaluate command.
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Openvons (open-Jev): 有限選択肢に確率で答える判断層 — テキスト / 画像 / 日本語音声コマンド.
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Jev vs Gemini 3.8 Flash: labelling 1,000 app reviews, 4.1× faster and 7× cheaper.
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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.
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A chatbot from typed Jev decisions: hierarchical speculative decoding over System One probabilities.
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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。
JEVLAB ARTSource-linked curation
Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal).
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High-throughput synthetic & pretraining dataset sifter powered by TypeSafe AI Jev (api.typesafe.ai). Stream, filter, and score Parquet & JSONL datasets at 1,500+ rows/sec using System One typed decisions (Choice, Score, Noul).
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A word-level language model whose output layer is Jev: n-gram drafter, Noul chunk verification, bits-per-token eval.
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An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice.
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A stronger one-pass scorer over a variable list of text options: hashed n-gram encoder, rival-aware attention, gated head, temperature scaling, benchmarked against jevlike.
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Independent calibration test of TypeSafe's Jev on a task it cannot have seen: 900 rule-generated support tickets (choice / score / boolean) plus 3 public benchmarks via Vercel AI Gateway. Raw responses, ECE with noise floor, temperature refit, per-type sign of miscalibration. Reproducible for ~$0.06.
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End-to-end Jev-style structured-decision stack for auditable data construction, Qwen3.5-0.8B training, fixed Mind2Web and OOD evaluation, preliminary RLCD, local serving, and interactive replay.
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Independent Jev 1.13.0 behavior study: report, controlled prompt experiments, raw results, and offline verification.
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This is a LLM Gateway that mimics typesafe ai structured output. Like an imposter Jev.
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Jev (TypeSafe) exploratory thread: claim audit, live demos, and runnable code.
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Measures how well TypeSafe's RLCD-Jev model spots real secret credentials in file snippets.
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TypeScript experiments, evaluations, and latency benchmarks for TypeSafe's Jev model.
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Type-safe one-decision-per-token decoding engine for autoregressive LLMs, inspired by Jev.
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A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
JEVLAB ARTSource-linked curation
Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations).
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Jev (TypeSafe) vs Claude Haiku 4.5 on 2 000 phishing emails: accuracy, calibration, latency, cost. Reproducible benchmark.
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A research project evaluating the practical value of Jev's confidence scores for task execution.
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Open-source BYOK arena for Jev and other AI judges. Find failures, compare quality, cost, and latency.
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Curated catalog of System One / Decision Models — contributions for modelsystem.one.
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A small reproducible MuJoCo pilot comparing Jev, Claude Haiku, and reactive rules for pick-and-place.
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A research project featuring an English–Icelandic dictionary that uses Jev to rerank results for better accuracy.
JEVLAB ARTSource-linked curation
Nushell module for the TypeSafe System One API: typed decisions with calibrated probabilities.
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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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A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.
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Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job.
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The open-source System One decision model. Sub-15ms, non-autoregressive, local drop-in alternative to TypeSafe Jev.
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I tortured Jev into being a RISC-V CPU.
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A collection of research papers and open reproductions supporting System One models.
JEVLAB ARTSource-linked curation
Feedback on your paper in seconds.
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Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go.
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Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B.
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A research project enabling SQL queries with real type responses.
JEVLAB ARTSource-linked curation
Jev 1.13 reward-model evaluation across 8 benchmark tracks, with an interactive report and 54-row SOTA comparison.
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Typed JSON inference with DiffusionGemma, with Every and Jev benchmark results.
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Reproducible early-access evaluation of Jev on Korean understanding and medical text, with runtime and cost evidence.
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Local bilingual probability decisions from context, questions, and candidate answers. Independent research preview inspired by TypeSafe Jev.
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Jev-style parallel constrained decisions for any MLX model on Apple Silicon. Typed, schema-valid JSON in one forward pass.
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Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG.
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TypeSafe Jev demonstration for new analyzation — experimenting with Jev for fast analysis of news and tickers.
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Experiments with openjev, an open Jev-style option-logit runner, on local models.
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Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models.
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One-pass typed decisions with calibrated probabilities (System One style model), fine-tuned from Qwen3.5-2B.
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A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.
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Can Jev pick the winner of a real headline A/B test? 64.5% across 10,984 Upworthy randomized experiments, 74.7% when the difference was decisive.
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Semantic ifs from open models, on a 3090 at home. Independent; not affiliated with Jev or TypeSafe.
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A reproduction of Jev that turns any Qwen model into a fast decision model, serving the same /v1/systemone schema (Choice, Score, Noul) with no training and no generated answer text.
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Find, design, and evaluate TypeSafe Jev decision loops.
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A small second eval for shadcn-ui/lint that uses TypeSafe's Jev to judge the linter's own output.
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On-device iPhone visual decision tool using MLX and Qwen3-VL direct option logits.
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An open-source project aiming to develop a Jev-class decision model for research purposes.
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See what Jev thinks about your SaaS website — powered by ReplyNodes web context and Vercel AI Gateway.
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Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE).
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OpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export.
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