Model capability rises predictably as dataDataThe examples a model learns from — text, images, code. More, higher-quality data generally yields a more capable model., computeComputeThe processing power used to train a model (GPU/TPU time, measured in FLOPs). More compute lets a model train on more data for longer., and parametersParametersThe internal weights a model tunes during training. More parameters let it capture more complex patterns. grow together. Drag the scale to move along the curve and watch the model generations light up.
Estimated capability: — · nearest generation: —
Illustrative — real scaling laws (Kaplan 2020, Chinchilla 2022) follow power laws in loss.