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Jev, Laya, and the emerging role of decision models

This story is from 2026-09-28. It is preserved in the archive; the latest stories are on the live feed.

TL;DR: Jev (TypeSafe AI) and Laya (Convai Innovations) are decision models: instead of generating text, they answer bounded questions, a choice , a score , or a yes/no probability , that an application can act on directly. Jev is a managed API with natural-language-defined questions; Laya is open-w…

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  1. 2026-09-28 22:48 · DEV Community — AI
    Jev, Laya, and the emerging role of decision models

More stories

  1. OpenDecider: distilling calibrated "System One" decision models from open teachers, evaluated head-to-head against Laya and TypeSafe's Jev — r/machinelearningnews
  2. TensorSharp Jev requests can now combine documents, images, video, and audio — r/LocalLLM
  3. How JEV works internally — r/learnmachinelearning
  4. New frontier AI models, TypeSafe’s Jev AI, & NASA’s IBM collab — Mixture of Experts (IBM)
  5. LLM or JEV? Why not both? - introducing a hybrid Gemma4 approach — r/LocalLLM
  6. How long until OpenAI release their version of Jev? — r/AI_Agents
  7. Supersonic Labs Releases Julia 1: A 144.3M-Parameter Open Decision Model That Runs on a CPU — MarkTechPost
  8. Trained locally: ultra-fast 0.8B/2B System 1 decision models that match Jev on benchmarks and Doom, ~30 ms per decision (open weights) — r/huggingface

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