Baggi & Orlandi-Foundational Models for Time Series Forecasting: are we there yet |PyData Paris 2024

Transformers are everywhere: NLP, Computer Vision, sound generation and even protein-folding. Why not in forecasting? After all, what ChatGPT does is predicting the next word. Why this architecture isn't state-of-the-art in the time series domain?
In this talk, you will understand *how Amazon Chronos and Salesforece's Moirai transformer-based forecasting models work**, the **datasets used to train them* and *how to evaluate them* to see if they are a good fit for your use-case.
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