An autoencoder learns to predict its input ... to complement autoencoders and VAEs with advanced neural systems designed using what is called Transformer Architecture (TA). Again, there are no solid ...

To address this issue, researchers at ETH Zurich have unveiled a revised version of the transformer, the deep learning architecture underlying language models. The new design reduces the size of ...

Byte latent transformer (BLT) is a tokenizer-free architecture that learns directly from raw bytes and matches the performance of tokenization-based models. To solve the inefficiencies of other ...

Essential AI Labs Inc., a startup led by two co-inventors of the foundational Transformer neural network architecture, today announced that it has raised $56.5 million from a group of prominent ...