Toto 2.0: Time Series Forecasting Enters the Scaling Era
Researchers have introduced Toto 2.0, a suite of five open-weight time series forecasting models that demonstrate the effectiveness of scaling foundation models. The models, trained using a single recipe, show improved forecast quality as their parameter count increases from 4 million to 2.5 billion. Toto 2.0 has achieved state-of-the-art results on three key forecasting benchmarks: BOOM, GIFT-Eval, and TIME. AI
IMPACT Demonstrates that scaling laws apply to time series forecasting, potentially improving accuracy across various applications.