Treffer: Time Series Forecasting Using Foundation Models.

Title:
Time Series Forecasting Using Foundation Models.
Authors:
Source:
Foresight: The International Journal of Applied Forecasting; 2026Q1, Issue 80, p36-40, 5p
Database:
Complementary Index

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The article reviews "Time Series Forecasting Using Foundation Models" by Marco Peixeiro, which is aimed at practicing forecasters familiar with Python and foundational forecasting concepts. The book provides a hands-on introduction to using Generative Pre-trained Transformers (GPTs) for time series forecasting, emphasizing practical applications and comparisons among various foundation models. While it effectively guides readers through model training and evaluation, it assumes prior knowledge of forecasting fundamentals and does not address certain critical issues, such as debugging forecasts or the performance of models in specific scenarios. Overall, the book is recommended for those looking to enhance their forecasting skills with foundation models. [Extracted from the article]

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