TimeGPT is the first pre-trained foundation model for time series forecasting that can produce accurate predictions across diverse domains without additional training. This Model is adaptable to different input sizes and forecasting horizons due to its transformer-based architecture.
Mar 19, 2024
A generative model for time series. TimeGPT is capable of accurately predicting various domains such as retail, electricity, finance, and IoT. 🛠️ Fine- ...
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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 ...
TimeGPT is a production ready, generative pretrained transformer for time series. It's capable of accurately predicting various domains such as retail, ...
Apr 25, 2024 · As a foundation model, TimeGPT is domain-general and is intended to produce forecasts across a host of contexts. In essence, as long as it is ...
TimeGPT. Generative AI for time series. Whether you're a bank forecasting market trends or a startup predicting product demand, TimeGPT democratizes ...
Apr 7, 2024 · Simulation results show that TimeGPT outperforms the benchmarks (e.g., popular machine learning models and statistical models) for load ...
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 ...
Feb 2, 2024 · TimesFM is a forecasting model, pre-trained on a large time-series corpus of 100 billion real world time-points, that displays impressive zero- ...
Duration: 12:53
Posted: Oct 12, 2023
Posted: Oct 12, 2023