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.
7 项资源
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A guide explaining Jev's approach to making typed decisions rather than processing text.
JEVLAB ARTSource-linked curation
Jev is utilized for decision-making processes on Cloudflare, including support routing and risk management.
JEVLAB ARTSource-linked curation
A guide on using Jev to route between models and block risky tool calls.
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 LangChain package with TypeSafeClassifier for integrating Jev into applications.
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