MIT News  August 14, 2024 The flexible nature of large language models (LLMs) allows them to be used for many applications. A team of researchers in the US (MIT, industry) used LLMs for challenging task time series anomaly detection. They addressed two aspects novel for LLMs: the need for the model to identify part of the input sequence (or multiple parts) as anomalous; and the need for it to work with time series data rather than the traditional text input. Their framework included a timeseries-to-text conversion module, as well as end-to-end pipelines that prompt language models to perform time series […]