Time-series foundation model
Expanded definition
Unlike a text LLM, a time-series foundation model consumes numeric histories (and sometimes covariates) and outputs future values or quantiles. Google TimesFM-3 is a current example in this catalog: a 330M multivariate forecaster with a non-commercial weight license. These models are not drop-in chat models. You still need to check frequency, missing data, license, and whether the hosted forecast API matches the research checkpoint.
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Time-series foundation model FAQ
What is Time-series foundation model?
A time-series foundation model is pretrained on many series so it can forecast new series with little or no task-specific training.
How is Time-series foundation model used in AI systems?
Unlike a text LLM, a time-series foundation model consumes numeric histories (and sometimes covariates) and outputs future values or quantiles. Google TimesFM-3 is a current example in this catalog: a 330M multivariate forecaster with a non-commercial weight license. These models are not drop-in chat models. You still need to check frequency, missing data, license, and whether the hosted forecast...
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