Publicación de lanzamiento de Jev
Diogo Almeida presenta Jev, el modelo de decisión estructurado de TypeSafe. Vea el film de lanzamiento y explore el hilo original para el enfoque del modelo, ejemplos y rendimiento informado por el autor.
A FIELD GUIDE TO JEV / VOL. 01
Lo mejor de Jev: proyectos reales, guías prácticas e ideas de toda la web.
Diogo Almeida presenta Jev, el modelo de decisión estructurado de TypeSafe. Vea el film de lanzamiento y explore el hilo original para el enfoque del modelo, ejemplos y rendimiento informado por el autor.
El anuncio oficial de lanzamiento de TypeSafe presenta el laboratorio y orienta a los desarrolladores a Jev. Incluye el film de lanzamiento de Diogo Almeida y su introducción original.
TypeSafe anuncia el acceso público a Jev sin lista de espera. La consola oficial es el punto de partida para probar decisiones tipadas en su propia aplicación.
TypeSafe destaca el enfoque de salida tipada de Jev: las aplicaciones proporcionan estado y preguntas, luego actúan sobre probabilidades, elecciones o puntajes. La anunciación vinculada también cubre la integración de la API de Venice.
Start with the Launch Post. Explore four official signals.
27 recursos
AI-assisted summaries and translations. Check original sources for context and performance claims.
A tech publication highlights Jev as an AI model offering a cost-effective and efficient approach to software intelligence.
JEVLAB ARTSource-linked curation
A practical guide explaining the use of TypeSafe’s System One model, providing technical insights for developers.
JEVLAB ARTSource-linked curation
Jev is discussed with examples of Choice, Noul, and Score in a Python project.
JEVLAB ARTSource-linked curation
A 30-minute internal session on Jev attended by over 50 engineers, generating more than 50 product ideas.
JEVLAB ARTSource-linked curation
Anthony Maio's essay on what a model that cannot generate text is for.
Source-linked curation
A report detailing all public Jev builds in the first week, including cost, time, and repository metadata for research use.
Source-linked curation
Japanese walkthrough of what Jev is and is not.
Source-linked curation
Directory listing systems using Jev for Noul, Score, and Choice questions.
Source-linked curation
The Neuron's explainer on AI decisions without a chatbot.
Source-linked curation
X client with Jev smart rules that filter the timeline by usefulness, type, and topic.
Source-linked curation
A resource explaining Jev's capabilities, limitations, and applications as a System One model.
JEVLAB ARTSource-linked curation
A guide exploring Jev's architecture through 10,000 API calls.
JEVLAB ARTSource-linked curation
Every's Mike Taylor runs his whole archive through Jev.
Source-linked curation
Latent Space's launch-day roundup: over 100x faster and 200x cheaper than small frontier LLMs.
Source-linked curation
Free, no-signup Noul demo. Ask a question, get yes, no, or maybe, with web search when needed.
Source-linked curation
A directory of Jev-related demos with categorization and submission options.
Source-linked curation
One sentence becomes six room settings. Jev chooses, the app renders.
Source-linked curation
Test a post against 10,000 synthetic personas before you publish it.
Source-linked curation
Talk nicely or nastily over time; structured state tracks the mood.
Source-linked curation
Jev integrates with Netlify's AI Gateway for zero-configuration use.
Source-linked curation
Work-in-progress demo of Jev driving Minecraft, including fleeing zombies at night.
Source-linked curation
A tool for tracking decisions made by Jev, using Arize's instrumentation for detailed analysis.
Source-linked curation
Local Telegram channel JSON analyzer for intent, quality, sentiment, and speaker tone.
Source-linked curation
Jev vs Jev gomoku with source and timing logs.
Source-linked curation
Independent walkthrough separating TypeSafe's published claims from public evidence.
Source-linked curation
Val Town demo where 16 typed judgments update live as you type.
Source-linked curation
A guide on integrating Jev with LiteLLM for simplified model calls through an existing proxy.
Source-linked curation