Il post di lancio di Jev
Diogo Almeida presenta Jev, il modello di decisione strutturato di TypeSafe. Guarda il filmato di lancio e esplora il thread originale per l'approccio del modello, esempi e prestazioni riportate dall'autore.
A FIELD GUIDE TO JEV / VOL. 01
Il meglio di Jev: progetti reali, guide pratiche e idee da tutto il web.
Diogo Almeida presenta Jev, il modello di decisione strutturato di TypeSafe. Guarda il filmato di lancio e esplora il thread originale per l'approccio del modello, esempi e prestazioni riportate dall'autore.
L'annuncio ufficiale di lancio di TypeSafe introduce il laboratorio e indica agli sviluppatori di Jev. Include il filmato di lancio di Diogo Almeida e l'introduzione originale.
TypeSafe annuncia l'accesso pubblico a Jev senza lista d'attesa. La console ufficiale è il punto di partenza per provare le decisioni tipizzate nelle proprie applicazioni.
TypeSafe evidenzia l'approccio di output tipizzato di Jev: le applicazioni forniscono stato e domande, quindi agiscono su probabilità, scelte o punteggi. L'annuncio collegato copre anche l'integrazione dell'API Venice.
Start with the Launch Post. Explore four official signals.
27 risorse
AI-assisted summaries and translations. Check original sources for context and performance claims.
A practical guide explaining the use of TypeSafe’s System One model, providing technical insights for developers.
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Latent Space's launch-day roundup: over 100x faster and 200x cheaper than small frontier LLMs.
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A tech publication highlights Jev as an AI model offering a cost-effective and efficient approach to software intelligence.
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A 30-minute internal session on Jev attended by over 50 engineers, generating more than 50 product ideas.
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Talk nicely or nastily over time; structured state tracks the mood.
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Test a post against 10,000 synthetic personas before you publish it.
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A guide on integrating Jev with LiteLLM for simplified model calls through an existing proxy.
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X client with Jev smart rules that filter the timeline by usefulness, type, and topic.
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Jev is discussed with examples of Choice, Noul, and Score in a Python project.
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Local Telegram channel JSON analyzer for intent, quality, sentiment, and speaker tone.
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A guide exploring Jev's architecture through 10,000 API calls.
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Independent walkthrough separating TypeSafe's published claims from public evidence.
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Directory listing systems using Jev for Noul, Score, and Choice questions.
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A resource explaining Jev's capabilities, limitations, and applications as a System One model.
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Anthony Maio's essay on what a model that cannot generate text is for.
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A tool for tracking decisions made by Jev, using Arize's instrumentation for detailed analysis.
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Val Town demo where 16 typed judgments update live as you type.
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Jev integrates with Netlify's AI Gateway for zero-configuration use.
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Free, no-signup Noul demo. Ask a question, get yes, no, or maybe, with web search when needed.
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Japanese walkthrough of what Jev is and is not.
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Every's Mike Taylor runs his whole archive through Jev.
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A directory of Jev-related demos with categorization and submission options.
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One sentence becomes six room settings. Jev chooses, the app renders.
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The Neuron's explainer on AI decisions without a chatbot.
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A report detailing all public Jev builds in the first week, including cost, time, and repository metadata for research use.
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Jev vs Jev gomoku with source and timing logs.
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Work-in-progress demo of Jev driving Minecraft, including fleeing zombies at night.
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