Time Series Forecasting in the Age of GenAI: Make Gradient Boosting Behaves like LLMs | by Marco Cerliani | Jul, 2024

The rise of Generative AI and Huge Language Fashions (LLMs) has fascinated the whole world initializing a revolution in quite a few fields. Whereas the primary focus of this form of know-how has been on textual content material sequences, further consideration is now being given to growing their capabilities to cope with and course of data codecs previous merely textual content material inputs.

Like in most AI areas, time assortment forecasting may also be not proof against the looks of LLMs, nevertheless this could be a nice deal for all. Time assortment modeling is known to be further like an paintings, the place outcomes are extraordinarily relying on prior space knowledge and passable tuning. Fairly the alternative, LLMs are appreciated for being task-agnostic, holding monumental potential in using their knowledge to unravel variegated duties coming from completely completely different domains. From the union of these two areas, the model new frontier of time assortment forecasting fashions could possibly be born which eventually might be able to receive beforehand unthinkable outcomes.