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Research1 min read
Google Research has released TimesFM-3, a zero-shot foundation model for multivariate time series forecasting. This model, with 330 million parameters, enables accurate forecasting by jointly predicting multiple time series and incorporating external features in a single forward pass.
From Google Research blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
How this blog is made
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.
