Microsoft recently announced Mu, a new small language model designed to integrate with the Windows 11 UI experience. Mu will ...

An encoder-decoder architecture is a powerful tool used in machine learning, specifically for tasks involving sequences like text or speech. It’s like a two-part machine that translates one form ...

Depending on the application, a transformer model follows an encoder-decoder architecture. The encoder component learns a vector representation of data that can then be used for downstream tasks ...

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.

It supports arbitrary depths of LSTM layers in both, the encoder as well as the decoder. Similar topologies have achieved an F1 score of 95.66% in the slot filling task of the standard ATIS benchmark.