Ordinal-scale bias in JEV-like direct-decision models
Decision modelsSource:Hugging Face
Research paper on direct-decision models: JEV 1.13 and three open KEV models do not use the ordinal scale supplied by the user faithfully. On ANLI, JEV assigns 38.8% of all predictions to the top option regardless of content — more choices, fewer decisions.
Related articles
Mistral vs Gemma: Light Models Compared
Families, sizes, context, licenses: the full comparison of the two most compact open model families, and how to pick the right one for your hardware.
Italian in local models: what to expect
How many local models actually handle Italian well? The vendor numbers, where they fail, and the half-hour method to measure them yourself.
Running LLM Models Locally: From First Install to First Working Model
From zero to a first answering model: what you actually need, Ollama step by step, how to pick a model for your memory, expected speeds per hardware, and the typical problems fixed.
Get the next local-AI briefing
Once a week, the top selection from iaLocale: articles, news and resources on local AI, and more.
After signing up you receive a confirmation email (double opt-in). Without confirmation we send nothing. No spam, we promise.