decision models
12 stories and discussions about decision models, aggregated from every source we track.
Evaluates typed decisions (choice, score, noul) over 100+ languages in a single forward pass with calibrated probabilities. Outperforms TypeSafe Jev.
Ollaya downloads and serves open decision models on your own machine. Typed, calibrated answers in milliseconds — private and open source.
Fine-tunes of Qwen3.5 and Gemma 4 for zero-shot classification - firelex/jeff
52 Jev-class systems tested on 534 decisions. Jev 1.13.0 leads JevBench v1.3.0 with 74.4; compare open-source, self-hostable and hosted options.
From our March 2025 arXiv paper on RL conversion trajectories to building a sub-40ms...
Decision API brings decision AI models into one API. Compare Jev, Laya, Kev, Solar and Span in the playground, then integrate classification, scoring and routing.
A 9B decision model from Bespoke Labs for fast, typed classification.
Jev promises decisions with honest probabilities in milliseconds. How does it work, and how close does a stock open model get?
To run a System One model locally you pick a runtime as well as a model. Ollaya serves ten open decision models behind a Jev-compatible API, laya-mlx runs...
Answer Yes/No questions, choose options, and score inputs.
Ollama now supports decision models, based on TypeSafe's Jev API for fast, typed decisions. Decision models can now be run at no cost with low latency. Based on text, decision models answer yes-or-no questions, choices…
Tiny, fast, use-case-specific decision models that can run in a browser. No input/output token costs, and you can train them on low-spec hardware.