The rebooted Transformers franchise was a marketing bonanza for Chevy, but it wasn't just the Bow Tie streaking across silver ...

In the world of particle physics, where scientists unravel the mysteries of the universe, artificial intelligence (AI) and ...

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 ...

BLT does this dynamic patching through a novel architecture with three transformer blocks: two small byte-level encoder/decoder models and a large “latent global transformer.” BLT architecture ...

My question is about executing encoder-decoder models with onnx genai runtime. My goal is to convert the DONUT transformer https://arxiv.org/abs/2111.15664, a ...

encoder-decoder, causal decoder, and prefix decoder. Each architecture type exhibits distinct attention patterns. Based on the vanilla Transformer model, the encoder-decoder architecture consists of ...

The encoder processes the input data to form a context, which the decoder then uses to produce the output. This architecture is common in both RNN-based and transformer-based models. Attention ...

MatFormer generalizes effectively to both decoder-only language models (MatLM) and vision encoders (MatViT), scaling as reliably and accurately as the standard Transformer, while enabling ...