Forecasting
TimesFM-3: A zero-shot foundation model for multivariate forecasting
Our short summary of Google’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on research.google (opens in a new tab)Problem
Users needed accurate forecasts that consider many related signals, but existing models only used single series data.
Solution
They built TimesFM‑3, a 330‑million‑parameter transformer pre‑trained on over 1 trillion time points, that can forecast multiple series together in one pass without fine‑tuning.
Research behind this, on AI Papers DailyChronos-2: A foundation model for multivariate time series forecasting
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on research.google (opens in a new tab)