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Multiple losses are employed to train the model effectively, including reconstruction loss and commitment loss, ensuring the encoder remains effective during the training process.
Generalist vs. Specialist Codebooks
A significant aspect of the Totem framework is the development of both generalist and specialist codebooks. While the generalist codebook applies to multiple datasets, specialist codebooks are tailored for specific datasets such as electricity or weather data. This distinction aids in preserving critical patterns and motifs across different domains.
Applications and Task Implementation
With a robust framework established, the practical implementation of Totem across several tasks demonstrates its versatility: