Time-Series Optimized Transformer for Observability (TOTO)

Original (Chinese)

The present disclosure describes technology for training and deploying time-series optimized transformers for observability (TOTO). The system may process multivariate time-series data using an artificial intelligence (AI) model. The model may include a patch embedding layer and a transformer architecture. The patch embedding layer is configured to receive the multivariate time-series data and output patch embeddings. The transformer architecture is configured to process the output patch embeddings and output transformed embeddings. The transformer architecture may include segments, with each segment including at least one space-wise block and a configurable number of time-wise blocks.