Discover how Mercury’s diffusion-based LLMs are 10x faster than Transformers, reshaping AI for text, image, and video ...

Architecture MSci integrates the development of architectural design skills with an understanding of the complex social and technical environments in which buildings are produced. The programme ...

If AGI is to emerge in the next decade, it is unlikely to be based purely on transformer architecture. Alternative models, such as OpenCog Hyperon or neuromorphic computing, may be more fundamental in ...

If AGI is to emerge in the next decade, it is unlikely to be based purely on transformer architecture. Alternative models, such as OpenCog Hyperon or neuromorphic computing, may be more fundamental in ...

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch ...

The Transformers repository provides a comprehensive implementation of the Transformer architecture, a groundbreaking model that has revolutionized both Natural Language Processing (NLP) and Computer ...

To achieve this objective, we proposed a framework for spine report generation that utilizes transformer architecture, trained on textual ... The incorporation of KD results improved both the BERT and ...

Parmar joined Google Research in 2015 as part of Google Brain, where she played a key role in developing the Transformer architecture—a foundation for modern AI models, including ChatGPT. Parmar’s ...

This paper proposes QDLTrans, a framework designed to enhance translation performance under resource-scarce conditions by integrating the multilingual pre-trained model ML-BERT into the Transformer ...