Jev lansman yazısı
Diogo Almeida, TypeSafe'ın yapılandırılmış karar modeli Jev'i tanıtıyor. Lansman filmini izleyin ve modelin yaklaşımını, örneklerini ve yazarın bildirdiği performansını keşfedin.
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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Jev’in en iyileri: gerçek projeler, pratik rehberler ve internetten fikirler.
Diogo Almeida, TypeSafe'ın yapılandırılmış karar modeli Jev'i tanıtıyor. Lansman filmini izleyin ve modelin yaklaşımını, örneklerini ve yazarın bildirdiği performansını keşfedin.
TypeSafe'ın resmi lansman duyurusu, laboratuvarı tanıtır ve geliştiricileri Jev'e yönlendirir. Diogo Almeida'nın lansman filmi ve orijinal girişimi içerir.
TypeSafe, Jev'e açık erişimi duyurdu. Resmi konsol, uygulamanızda türden kararlar denemek için başlangıç noktasıdır.
TypeSafe, Jev'in türden çıktı yaklaşımını vurgular: uygulamalar durum ve sorular sağlar, ardından olasılıklar, seçimler veya puanlara göre hareket eder. Bağlantılı duyuruda Venice API entegrasyonu da yer alır.
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 podcast segment discussing Jevons paradox and its connection to TypeSafe AI's funding.

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Jev is demonstrated as a classification model with practical examples.

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Jev processes natural language with structured outputs and confidence levels, but it is not a traditional large language model.

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A livestream analyzing Jev's architecture for JSON-predicting models.

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A guide explaining three types of micro decisions used by Jev AI.

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Leonardo Bissoli apresenta decisões estruturadas com Jev, incluindo confiança, limites e exemplos de uso em aplicações.

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A resource discussing a new model type that outperforms LLMs in specific areas, collected for the tools shelf.

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Jev processes 1,000 emails for category, priority, spam, and reply predictions.

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A tested resource evaluating Jev's capabilities in browser automation and support tasks.

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Jev enables users to create various applications using its architecture, as explained in a YouTube guide.

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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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Jev is HERE. How to use it. A resource explaining how to access Jev through the Vercel AI Gateway and its potential business applications.

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A YouTube guide explores using Jev within an agentic coding loop, focusing on cost efficiency for development tasks.

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Fazt presenta las decisiones estructuradas de Jev con ejemplos de Snake y clasificación de solicitudes de soporte.

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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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A YouTube guide explaining Jev's functionality, including browser use, classification, and code review without an LLM.

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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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Tutorial covers API setup and building prototypes with Jev and LLMs.

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A user tested the new Jev model and shared insights about its significance for System One models.

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Retriever AI evaluates Jev's performance on real browser tasks, identifying strengths and areas for improvement in integration with larger models.

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