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Recent activityA FIELD GUIDE TO JEV / VOL. 01
Le meilleur de Jev : projets concrets, guides pratiques et idées du web.
THE OFFICIAL SIGNAL 4 HIGHLIGHTS
Diogo Almeida@CompleteSkepticLAUNCH POSTDiogo Almeida présente Jev, le modèle de décision structuré de TypeSafe. Regardez le film de lancement et explorez le fil original pour découvrir l'approche du modèle, des exemples et les performances rapportées par l'auteur.
TypeSafe AI@typesafeaiOFFICIALL'annonce officielle du lancement de TypeSafe présente le laboratoire et oriente les développeurs vers Jev. Elle inclut le film de lancement de Diogo Almeida et son introduction originale.
TypeSafe AI@typesafeaiOFFICIALTypeSafe annonce l'accès public à Jev sans liste d'attente. La console officielle est le point de départ pour tester les décisions typées dans votre propre application.
JEVLAB ARTTypeSafe AI@typesafeaiOFFICIALTypeSafe met en avant l'approche de sortie typée de Jev : les applications fournissent l'état et les questions, puis agissent sur les probabilités, les choix ou les scores. L'annonce liée couvre également l'intégration de l'API Venice.
JEVLAB ARTStart with the Launch Post. Explore four official signals.
20 ressources
AI-assisted summaries and translations. Check original sources for context and performance claims.
A user tested the new Jev model and shared insights about its significance for System One models.
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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 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 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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Tutorial covers API setup and building prototypes with Jev and LLMs.
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A guide explaining three types of micro decisions used by Jev AI.
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A podcast segment discussing Jevons paradox and its connection to TypeSafe AI's funding.
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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 livestream analyzing Jev's architecture for JSON-predicting models.
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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 setup where Jev selects between different AI models for specific tasks, streamlining model usage in a single terminal.
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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 YouTube guide explores using Jev within an agentic coding loop, focusing on cost efficiency for development tasks.
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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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Leonardo Bissoli apresenta decisões estruturadas com Jev, incluindo confiança, limites e exemplos de uso em aplicações.
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Jev is demonstrated as a classification model with practical examples.
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4 HIGHLIGHTS
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