AINewsnow

LLMs vs Jev vs CDMs: three ways a model can answer

Most of the model calls I write are not conversations. They are narrow questions with a short answer: is this PDF an invoice, which team owns this ticket, what is the total on page two. I still send them to a language model, and the model still writes its answer out one token at a time, even when t…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-11-01 18:53 · DEV Community — Machine Learning
    LLMs vs Jev vs CDMs: three ways a model can answer

More stories

  1. FHIR Validation Doesn't Tell You What to Do Next, So I Built a Decision Layer — DEV Community — AI
  2. Decision Models: From a Typed Prediction to an Accountable Action — DEV Community — Machine Learning
  3. Cut Your AI Agent Prompt Size by 75% Using a Fast Decision Model (Jev / decision-1) — DEV Community — AI
  4. Jev Doesn't Write a Single Word. That Is Why AI Agents Need It. — DEV Community — AI
  5. I Built a Small but Flexible Text Classifier for Modest Hardware — r/LocalLLM
  6. The Problem with Jev: Can You Trust AI Decisions? — IBM Technology (YouTube)
  7. AutoTrust Releases Open JEV-9B Model for Fast AI Decisions — AlphaSignal
  8. Sam Altman calls consumer PC RAM use 'terrible,' meets Samsung on memory chip supply — Tom's Guide AI

Get the daily brief of stories like this at 6:30 every morning →