To the best of our knowledge, we present the first exploration of combining Swin Transformer and convolution in both the encoder and decoder stages. Through comprehensive comparative analysis, we ...

We will use PyTorch + Lightning to create and optimize an encoder-decoder transformer, like the one shown in the picture below. Code a Position Encoder Class From Scratch!!! The position encoder class ...

To perform the sanity check on the Decoder that was trained, the following sentences were run through the trained Decoder model, and the attention matrices were evaluated on the same sentences that ...

Mu Language Model is a Small Language Model (SLM) from Microsoft that acts as an AI Agent for Windows Settings. Read this ...

Decoder-only models. In the last few years, large neural networks have achieved impressive results across a wide range of tasks. Models like BERT and T5 are trained with an encoder only or ...