Jev发布帖
Diogo Almeida介绍了Jev,即TypeSafe的结构化决策模型。观看发布影片,并探索原始帖子了解该模型的方法、示例和作者报告的性能。
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Recent activityDiogo Almeida介绍了Jev,即TypeSafe的结构化决策模型。观看发布影片,并探索原始帖子了解该模型的方法、示例和作者报告的性能。
TypeSafe的正式发布公告介绍了实验室,并引导开发者使用Jev。公告包含Diogo Almeida的发布影片和原始介绍。
TypeSafe宣布Jev向公众开放,无需等待列表。官方控制台是将类型化决策应用于自己应用程序的起点。
TypeSafe强调Jev的类型化输出方法:应用程序提供状态和问题,然后根据概率、选择或评分进行操作。相关公告还介绍了Venice API集成。
Start with the Launch Post. Explore four official signals.
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实时评估提示难度的分类器,可为简单提示启用快速模式以提升用户体验。
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演示Jev在Higgsfield上为视频和图像生成任务选择最合适的AI模型。
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A 26-sheet construction plan set was classified in 2.9 seconds using Jev with an LLM pipeline, costing $0.0052 and matching GPT-4.1 and GPT-6 Astra performance.
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A GitHub project routing tasks by selecting model tier, tools, skill, and effort.
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SuperX与Jev集成实现快速帖子评分,每篇帖子分析61个问题,不到一秒内完成且预测高病毒潜力准确性高。
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Uses Jev to decide which AI model to use before generating output, based on prompt and quality requirements.
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An open-source project that helps select relevant Claude Code skills by prioritizing frequently used ones through Jev integration.
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A Jev-powered system that analyzes PDFs page by page to determine which require OCR processing.
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A demonstration of Jev's capability to quickly categorize a large volume of Hacker News posts.
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Jev is utilized for decision-making processes on Cloudflare, including support routing and risk management.
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Classifies tax documents using an LLM pipeline for efficient processing.
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Real-time Discord moderation bot: Jev evaluates messages and metadata in parallel to catch phishing, spam, and social engineering with a progressive escalation ladder.
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A tool that scores video ad shots in 1.5 seconds using Maxfusion and Jev, processing over 450 ads in under three minutes.
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DuckDB extension that classifies rows in CSV, Parquet, or DuckDB tables with Jev, about 10 seconds per 1,000 rows.
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A real-time computer assistant using Jev and local Whisper to process voice input, classify actions, and interact with the screen through a Swift app for accessibility.
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A resource detailing a test of Jev on 12 real-world scenarios, including speed, cost, and practical applications.

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Jev is demonstrated as a classification model with practical examples.

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A community post detailing a dashboard that classifies X posts across eight dimensions using Jev for content research.
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GitHub project for content moderation with category-specific probability thresholds. Enables automated content filtering.
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Jev is a System One model on OpenRouter that provides decisions with probabilities.
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Jev evaluates the pacing of a frontier-AI essay written by @DarioAmodei.
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A project classifying 1,018 AI research papers using Jev, achieving low cost and fast processing for organizing academic work.
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Pre-alpha PostgreSQL extension for TypeSafe AI (Jev) categorical classification.
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A setup where Jev selects between different AI models for specific tasks, streamlining model usage in a single terminal.

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A prototype that classifies symptoms and updates diagnoses using medical ontologies during live clinical consultations.
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Marketing analytics platform whose feature flag routes brand-visibility classifiers off an LLM and onto Jev boolean decisions.
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Helper n8n community node for Jev by TypeSafe. Classify, route, and score text with questions you define, and get a probability for every answer so unsure items can go to review.
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A guide on using Jev to route between models and block risky tool calls.
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A .NET 10 and React 19 application for fast, structured AI-powered ticket triage using TypeSafe Jev.
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Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships.
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A developer project integrating Home Assistant with Jev for processing user input without an LLM.
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A community post about using Jev for incident triage in Box, returning boolean results with probabilities.
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Fast CVSS scoring from vulnerability descriptions using Typesafe Jev.
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Guardrails for LLM apps in one API call. Prompt injection, jailbreaks, leaks, unsafe content. Built on TypeSafe Jev. MIT.
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Matched-precision comparison against a private fine-tuned classifier.
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An educational Jev-like visual inference experiment on Apple Silicon: shared context, direct candidate scoring, and local visual demos.
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Open-source AI email triage for Gmail. Sorts your inbox into Needs reply, Updates, Promos, Sales and Spam with Jev, TypeSafe AI's decision model, via Vercel AI Gateway. Read-only, runs locally, 1,000 emails in about a minute for 3 cents.
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A demo showing how to make open source models behave like Jev using inference engineering and scoring endpoints for decision-making.
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A guide explaining Jev's approach to making typed decisions rather than processing text.
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Neon Function proxy for the Neon AI Gateway with TypeSafe Jev routing.
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Experimental semantic line search with TypeSafe Jev via OpenRouter. Python CLI with no runtime dependencies.
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Runnable Jev examples through OpenRouter for immediate implementation.
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Eight minimal working examples of TypeSafe's Jev (a System One model) applied to mechanical and electrical engineering: CAD/CAE/CAM routing, FEM result triage, DFM screening, BOM alignment, hallucination-proof extraction. Zero dependencies.
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An ad blocker extension using AI for real-time classification and removal of ads.
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Typed, policy-driven decision workflows on top of TypeSafe AI Jev: confidence routing, fallbacks, evaluation, and RAG patterns for TypeScript apps.
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A GitHub project that uses Jev to triage and route posts from the live Bluesky firehose with human oversight.
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1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.
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Analyzes 100,000 X posts in 20.4 seconds using 14 yes/no questions per post for viral potential assessment.
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An optimized inference engine to turn LLMs into Jev-like machines: optimized for quick, lightweight, and accurate decision-making, classification, and scoring.
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Jev enables natural language search for Zillow listings, classifying properties by non-standard filters.
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A community post presents a codebase complexity classifier using Jev, aiming to address overengineered code.
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Short practical intro with a Python ticket-triage example.
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A task using Jev to score 3,000 kids' snacks with multiple criteria in 28 seconds.
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Self-hosted AI email classifier for Gmail powered by Jev. Create custom labels, organize your inbox, and filter spam with confidence and cost controls.
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Jev enables flexible, type-safe classification as a fundamental programming primitive.
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A GitHub Action using Jev for automated PR triage and classification.
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Jev classifies 500 emails quickly and inexpensively, demonstrating its efficiency in processing tasks.
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Benchmarking TypeSafe's Jev decision model as a cost-efficient LLM router on RouterArena.
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Open-source Jev-style System One decision model. Gemma 3 270M with a scoring head — fast, calibrated decisions in a single forward pass. No text generation. Inspired by TypeSafe.ai's Jev.
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Jev demonstrated over 5x faster performance than other models in testing.
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SQL with natural-language predicates, powered by TypeSafe's Jev. Filter, rank, classify and score rows by meaning — batched, cached and cost-guarded.
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PulseLane — clinic triage decisions via TypeSafe Jev.
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A system tested on 1,500 emails for classification effectiveness. Demonstrates potential for automated email management.
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An image classifier using OCR and Jev processes 900 images in 40 seconds.
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A community example demonstrating how Jev can classify company invoices into accounting categories rapidly.
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A project using Jev for skill routing in an agent system, based on community development.
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A GitHub project for a Pareto-optimal OpenRouter router for Pi, decided by Jev.
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A developer project for model routing with caching and failover.
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Open-source Jev log triage for OpenTelemetry. Score the signal before expensive LLM analysis.
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One direct Jev question per row against 12–14 Jev-scored dimensions with locally fitted weights on three classification tasks: 5,477 test rows, 25,174 Jev calls, $1.43. Decomposition wins on Japanese NLI (0.9076 vs 0.8373) but flags about 25× more hard benign rows as attacks (37.2% vs 1.5%).
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Not every coding task needs your best model. Experimental Jev-powered model routing for Claude Code — V3 prototype runs today, V4 routes at the task boundary.
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Turn any open model into a classifier/jev endpoint.
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