decision model
11 stories and discussions about decision model, aggregated from every source we track.
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Julia 1 is our compact decision model. Explore the research, evaluation results, limitations, and model repository.
Runnable question sets for TypeSafe's Jev, an eval harness with measured CLINC150 results, and a linter for the request shapes the API silently mis-reads. - chr-kelly/jev-cookbook
Purpose-built models for structured decisions: classification, routing, and scoring in a single call with zero generated tokens
Open-weight GLiNER2.5-Decide in MLX Swift versus TypeSafe’s hosted Jev: what each offers, what the published benchmark compared, and local measurements: 7.6 ms per request at 0.85 GB with INT8.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Laya vs Jev for typed AI decisions: why I run the open-weight model on my Mac, how it beat my router 37/40 to 33/40, and what that does not prove.
Under 120 MB. One forward pass returns typed, calibrated answers. By toolchain.studio.
Purpose-built models for structured decisions: classification, routing, and scoring in a single call with zero generated tokens
Train a Jev-like multimodal model by yourself. System One Model, now with vision. - Liuziyu77/Valen