Hugging Face has released a patch for its Time Series Transformer (TST) model. The TST is designed to handle time series data, which includes sequences of values over regular time intervals. According to the company, this update addresses some performance issues and improves the overall accuracy of the model. However, no specific details on the changes are provided. --- Why it matters: This matters because accurate forecasting in time series data is crucial for many applications, including finance, weather prediction, and energy management. Engineers working with these types of datasets will want to assess whether this patch improves their results. Source: https://huggingface.co/blog/patchtst