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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A community post describes using Jev to analyze news for stock investment opportunities.
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Jev rapidly analyzes 700 live ads in 40 seconds for marketing insights at low cost.
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Jev on Sol. A community post describing an experiment where Jev analyzes Solana blockchain data in real time.
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A demonstration where Jev was given $10,000 to trade.
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A stock evaluation tool using Jev for fast market analysis.
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Orus uses Jev to review and approve trade strategies before execution, enhancing decision-making with structured answers.
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An AI-driven hedge fund utilizing Jev for fast and cost-effective trading decisions.
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A community post describing an SEO audit using Jev to analyze website internal links in 45 seconds.
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A trading bot using Jev to decide buy/sell actions based on asset price feeds and executing real trades.
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An experimental trading system using defined rules and Jev for decision-making.
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Jev identifies and manages marketing messages in Android notifications without content deletion.

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Jev conducts a sentiment-based stock market analysis for the Danish market in 2025, using diverse data sources with low cost.
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A community tool leverages Jev to identify relevant X discussions for business outreach.
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Jev rapidly analyzed news articles to suggest relevant stories for brands at a low cost.
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Jev rapidly analyzes competitor ads with detailed classification and cost efficiency.
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Jev trades 15-minute and 1-hour BTC, ETH, and SOL markets on Kalshi.
x.comKalshi prediction-market bot查看项目 ↗Source-linked curation