Oct 5, 2023 · In this paper, we introduce TimeGPT, the first foundation model for time series, capable of generating accurate predictions for diverse datasets ...
Apr 7, 2024 · This paper aims to discuss the potential of large time series models in load forecasting with scarce historical data.
A generative model for time series. TimeGPT is capable of accurately predicting various domains such as retail, electricity, finance, and IoT. 🛠️ Fine-tune with ...
Oct 13, 2023 · Nixtla curated a 100B dataset of time-series and built TimeGPT, the first foundation model on time-series. The results are unlike anything we have seen so far.
TimeGPT is user-friendly and low-code, enabling users to upload their time series data and either generate forecasts or detect anomalies with just a single line ...
A time series model with large enough Training corpus being able to deal quite well with typical quirks of seasonalities, shocks, outliers, etc.
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Apr 29, 2024 · This paper presents a new approach: a series of point-in-time LLMs called Time Machine GPT (TiMaGPT), specifically designed to be ...
Jan 5, 2024 · In this paper, we introduce TimeGPT, the first foundation model for time series, capable of generating accurate predictions for diverse datasets not seen ...
Oct 24, 2023 · TimeGPT is the first foundation model for time series forecasting. It leverages the Transformer architecture and was pre-trained on 100 billion data points.
Aug 9, 2024 · This article describes TimeGPT, the first foundation model for time series, capable of generating accurate predictions for diverse datasets not seen during ...