A Transformer is a type of neural network architecture. To recap, neural nets are a very effective type of model for analyzing complex data types like images, videos, audio, and text.

The great breakthrough about this model is that it makes no assumption about input data type, while, for instance, existing convolutional neural networks work for images only. Source: Perceiver ...

The transformer model alone isn't going to drastically improve your GPU performance any more than the convolutional neural network in DLSS 3 did, but it will make games look far better, which is ...

In this paper, we propose a transformer-based MRC-TransUNet framework, which effectively combines the advantages of transformer as well as CNN, reduces the number of parameters of traditional ...

Various generative AI models, including transformer-based models, GANs, and diffusion models, are trained through different processes involving large-scale data, neural networks, and methods like ...