Abstract: The transformer architecture has revolutionized many applications such as large language models. This progress has been largely enabled by distributed training, yet communication remains a ...

Alex Battaglia of Digital Foundry interviews Bryan Catanzaro, Nvidia's VP of applied deep learning about DLSS 4. How does it work and what's possible next?

Transformers have revolutionized natural language processing and machine learning. This architecture, introduced in the paper "Attention Is All You Need," uses self-attention mechanisms to process ...

For context, transformer architecture, the technology which gave ChatGPT the 'T' in its name, is designed for sequence-to-sequence tasks such as language modeling, translation, and image processing.

This repository open source the code for ViTAS: Vision Transformer Architecture Search. ViTAS aims to search for pure transformer architectures, which do not include CNN convolution or indutive bias ...

The classic transformer architecture used in LLMs employs the self-attention mechanism to compute the relations between tokens. This is an effective technique that can learn complex and granular ...

Learn what a transformer network is, how it works, and how you can use it in AI. See some examples of transformer network applications in natural language processing, computer vision, ...