model-selection
Everything on Ground Truth tagged “model-selection” — 3 items.
The bias-variance tradeoff: why a model can fail by being too simple or too clever Lesson
Every model's error splits into two opposing parts -- bias, from being too rigid to capture the pattern, and variance, from being so flexible it memorizes noise. Reducing one usually raises the other, and the whole craft of machine learning is finding where their sum is smallest.
OpenRouter now picks your model by what everyone else is paying for News
OpenRouter rebuilt its automatic model router around aggregate spending data from the past seven days, replacing hand-tuned rules with a crowd signal drawn from more than 55 trillion tokens a week.
OpenRouter Rankings Tool
Public leaderboard of which models are actually receiving token traffic, broken out by task category and time window. The clearest free read on real-world model adoption rather than benchmark scores.