Sequence-to-Sequence (Seq2Seq) models have revolutionised the field of natural language processing and machine translation. These models have the remarkable capability to handle both input and ...

In recent years, with the rapid development of large model technology, the Transformer architecture has gained widespread attention as its core cornerstone. This article will delve into the principles ...

Seq2Seq is essentially an abstract deion of a class of problems, rather than a specific model architecture, just as the ...

Cerebras Systems customer GSK speaks about the importance of CS-2's long sequence length capability for improving accuracy in natural language processing models. According to Kim Branson, senior ...

Google AI today introduced Translatotron, an end-to-end speech-to-speech model capable of retaining the sound of the voice that's being translated.

Empirical testing demonstrated that LinOSS consistently outperformed existing state-of-the-art models across various demanding sequence classification and forecasting tasks.