Publicación de lanzamiento de Jev
Diogo Almeida presenta Jev, el modelo de decisión estructurado de TypeSafe. Vea el film de lanzamiento y explore el hilo original para el enfoque del modelo, ejemplos y rendimiento informado por el autor.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Lo mejor de Jev: proyectos reales, guías prácticas e ideas de toda la web.
Diogo Almeida presenta Jev, el modelo de decisión estructurado de TypeSafe. Vea el film de lanzamiento y explore el hilo original para el enfoque del modelo, ejemplos y rendimiento informado por el autor.
El anuncio oficial de lanzamiento de TypeSafe presenta el laboratorio y orienta a los desarrolladores a Jev. Incluye el film de lanzamiento de Diogo Almeida y su introducción original.
TypeSafe anuncia el acceso público a Jev sin lista de espera. La consola oficial es el punto de partida para probar decisiones tipadas en su propia aplicación.
TypeSafe destaca el enfoque de salida tipada de Jev: las aplicaciones proporcionan estado y preguntas, luego actúan sobre probabilidades, elecciones o puntajes. La anunciación vinculada también cubre la integración de la API de Venice.
Start with the Launch Post. Explore four official signals.
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AI-assisted summaries and translations. Check original sources for context and performance claims.
A community project using Jev to customize Hacker News content preferences.
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Jev AI performs quality checks on action labels for physical AI training data at high speed.
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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
Directory of Jev-based projects including repositories, SDKs, and benchmarks.
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A real-time tool to analyze and categorize tweets for viral potential.
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A YouTube guide discussing Jev's functionality, pricing, and performance comparisons with Astra, including benchmarking and parallel decision analysis.

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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。
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Tool for systematic reviewers to extract information from research articles efficiently.
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A small open decision model: state + typed questions -> calibrated probabilities. A Jev / System One re-creation on Qwen3.5.
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Jev enables fast search of physical library indexes.
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CLI for TypeSafe AI's Jev evaluation model — typed questions in, structured JSON answers out.
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A chatbot built on a model that cannot generate text (TypeSafe AI's Jev, driven autoregressively).
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Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.
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Evidence-backed index of real-world Jev (TypeSafe AI System One) use cases: repos, patterns, benchmarks, and measured results.
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Jev integrates into a recommendation engine, providing 70+ personalized suggestions per user at 0.0019$ per user.
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Jev monitors 25 WhatsApp customer groups in real time, alerting an LLM only when urgent issues arise.
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Check whether each cited paper supports the sentence citing it. Claude proves the quote, TypeSafe's Jev scores it, a human decides.
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Experiments with openjev, an open Jev-style option-logit runner, on local models.
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Eval of Jev turning free-text player intent into typed server actions: 96% agreement, 317 ms median.
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A research project evaluating the practical value of Jev's confidence scores for task execution.
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Reproducible benchmark for measuring Jev reranking quality, latency, and cost in RAG.
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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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Charts: TypeSafe Jev evaluated on Thai standardized exams vs 110 other models.
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A Jev-inspired decision interface for existing LLMs. Explicit choices, scores, calibration, and review thresholds.
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Open, Jev-compatible System One decision server on DiffusionGemma.
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Replicating Jev with a local LLM.
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Open alternative to Jev: typed, calibrated decisions from any open-weights LLM in one forward pass (HF + vLLM), with benchmarks.
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Small Python package that uses typesafe.ai to evaluate code comments on certain heuristics.
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Evaluación de decisión tipificada de PadFlow (SaaS de desarrollo de terrenos): esquemas, filas anónimas etiquetadas y un ejecutor para modelos calibrados en confianza como Jev de TypeSafe.
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OpenTelemetry Collector connector that uses Jev to assess metric metadata and apply retention policies before export.
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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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A small, type-safe client for asking AI questions about your data, powered by TypeSafe Jev.
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If you're experimenting with jev it will be easier from here.
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A chatbot project that responds to typed questions, part of a research collection.
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Batched single-token choice inference for open language models, compatible with TypeSafe.
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A research project enabling SQL queries with real type responses.
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Offline Obsidian search with optional Jev reranking of results, requiring user approval before reranking.
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Jev 1.13 reward-model evaluation across 8 benchmark tracks, with an interactive report and 54-row SOTA comparison.
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Nushell module for the TypeSafe System One API: typed decisions with calibrated probabilities.
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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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Rust port of TypeSafe system-one-adapter (LLM-backed system_one evaluations).
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Utilizes Jev as a decision engine to manage and coordinate multiple bot agents for complex tasks.
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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 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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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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I tortured Jev into being a RISC-V CPU.
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Find, design, and evaluate TypeSafe Jev decision loops.
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On-device iPhone visual decision tool using MLX and Qwen3-VL direct option logits.
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Can a decision model beat dedicated rerankers? TypeSafe Jev vs Cohere Rerank 4 vs ZeroEntropy zerank-2 vs a chat-model baseline: 14 datasets, every raw API response, bootstrap ranges on every gap.
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A free open-source search tool powered by Jev and a search API for plain language queries.
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Using Jev as an evaluator.
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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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A research project auditing Jev's performance with the Spanish language.
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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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A PostgreSQL extension enabling natural language queries across databases.
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Jevals is a local testing environment for evaluating Jev requests and improving results through primitive operations.
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A spatial reference explorer for creators. Local Jev query choices, metadata highlights and source-linked collections.
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Feedback on your paper in seconds.
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A collection of research papers and open reproductions supporting System One models.
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An observable raw-character chat experiment powered entirely by TypeSafe Jev Choice.
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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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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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Zero-shot spam filtering with TypeSafe Jev Noul questions, compared with TF-IDF baselines.
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Papers, open reproductions and independent evaluations behind System One models and Jev.
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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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TypeSafe AI System One (Jev) task plugin for QuantumNous/new-api — native /v1/systemone, synchronous evaluation, token billing.
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Interactive explorer and Jev question workspace for Jev Board datasets.
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Jev-style calibrated decision model (Choice/Score/Noul) on Qwen3.5-0.8B.
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Dev.to walkthrough of the Vercel AI SDK evaluate integration.
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Jev (TypeSafe) vs. Gemini 3.8 Flash vs. GPT-5.6 Luna na anotação estruturada de sentenças do TJSP: qualidade, tempo e custo.
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Catch breaking API behavior hidden in OpenAPI prose with deterministic checks and TypeSafe JEV System One semantic review.
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An open-source project aiming to develop a Jev-class decision model for research purposes.
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