ETH Zurich's new transformer architecture enhances language model efficiency, preserving accuracy while reducing size and computational demands. Skip to main content Events Video Special Issues Jobs ...

When the Transformer paper came out in 2017, few thought it would have such an impact. One of these models might turn out to beat the Transformer at its own game. Daily insights on business use ...

AI researchers have unveil the Energy-Based Transformer (EBT), a new AI architecture for 'System 2' reasoning that promises ...

Figure 2: Variational Autoencoder Architecture for the UCI Digits Dataset The key point is that a VAE learns the distribution of its source data rather than memorizing the source data. A data ...