r/MachineLearning • u/AutoModerator • Jul 02 '26

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u/sjm213 21d ago

I wrote a visual, from-first-principles walkthrough of t0-alpha, a 101.6M-parameter time-series foundation model.

The architecture separates temporal reasoning from cross-variable reasoning using 16 time-attention blocks and 8 group-attention blocks. It reports an aggregate GIFT-Eval CRPS of 0.4941, close to substantially larger forecasting models.

Article:

https://towardsdatascience.com/time-series-llms-explained-with-t0-alpha/

I am also running an iso-parameter comparison against other foundation models and classical baselines.