But not all transformer applications require both the encoder and decoder module. For example, the GPT family of large language models uses stacks of decoder modules to generate text.

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 ...

An Encoder-decoder architecture in machine learning efficiently translates one sequence data form to another.

Discover the key differences between Moshi and Whisper speech-to-text models. Speed, accuracy, and use cases explained for ...

BLT architecture (source: arXiv) The encoder and decoder are lightweight models. The encoder takes in raw input bytes and creates the patch representations that are fed to the global transformer.

February 6, 2023 - Global IP Core Sales - The new DVB-RCS2 Turbo Encoder and Decoder IP Core is on the transmitter side, the turbo-phi encoder architecture is based on a parallel concatenation of two ...