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Jev news

Every Jev story as it breaks — clustered from 266 sources, ranked by importance, updated every 10 minutes.

  1. How to train your own Jev for $17 — Together AI Blog
  2. notjev – Turn any local LLM into a Jev-style decision engine (one token + logprobs) — r/LocalLLM
  3. Trained a per-task head on top of convaiinnovations/laya (frozen encoder) and served it behind the Jev API: 38% zero-shot on 77 intents is fixable with your own rows — r/huggingface
  4. stuntd: a local Jev-compatible server on Laya that learns from your own traffic (no API key needed) — r/LocalLLaMA
  5. Jev's calibration was measured. The LLMs won [D] — r/MachineLearning
  6. What Everyone Is Getting Wrong About TypeSafe AI's Jev — KDnuggets
  7. An Introduction to Jev — Towards Data Science
  8. Jev introduces a new shape of LLM - System One, aka Decision Models — Simon Willison's Weblog
  9. GAN8 vs JEV — r/learnmachinelearning
  10. Jev After Eight Days of Independent Tests: Level With Mid-Price LLMs, Behind the Frontier — DEV Community — Machine Learning
  11. We Tested Jev on 277 Real Public Tenders. Here Is What a Decision Model Can and Cannot See. — DEV Community — Machine Learning
  12. I tried combining Laya with agent-browser to achieve faster browser navigation — r/LocalLLM
  13. I made a visual explainer for Jev (System 1 vs System 2 models) - parallel sampling, typed outputs, RLCD [12 mins] — r/learnmachinelearning
  14. JEV almost dead: CLM vs JEV — r/LocalLLaMA
  15. Featherless AI's Simple Jev Turns Open Hugging Face Models Into Classifier APIs — AlphaSignal
  16. JEV broke down 724 live ads from 37 brands in 40 seconds for $0.09 of tokens — r/artificial
  17. Jev is more of architecture rather a real usable product - at the moment — r/AI_Agents
  18. Jev isn't new tech. Its marketing targets people who think AI started with LLMs. — r/LocalLLaMA
  19. Jev isn't an LLM killer, and it isn't just a classifier. We put it in production with real users. Here's what we learned — r/AI_Agents
  20. I open sourced 12M agentic decision examples for training Jev style models — r/learnmachinelearning