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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.
7 項資源
AI-assisted summaries and translations. Check original sources for context and performance claims.
A guide on using Jev to route between models and block risky tool calls.
JEVLAB ARTSource-linked curation
Jev is utilized for decision-making processes on Cloudflare, including support routing and risk management.
JEVLAB ARTSource-linked curation
1,800-point thread debating whether typed decisions replace LLM calls for classification, routing, and scoring.
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Short practical intro with a Python ticket-triage example.
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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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A guide explaining Jev's approach to making typed decisions rather than processing text.
JEVLAB ARTSource-linked curation
A LangChain package with TypeSafeClassifier for integrating Jev into applications.
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