Aug. 18, 2023, 9:43 a.m. | Aneesh Tickoo


Transformer-based neural networks have received much attention lately because they function well. Machine translation, text creation, and question answering are just a few natural language processing activities for which Transformer architecture (see figure 1) has emerged as the industry standard. The effectiveness of transformer-based models is not restricted to NLP; they have also been used […]

The post Google DeepMind Researchers Propose 6 Composable Transformations to Incrementally Increase the Size of Transformer-based Neural Networks while Preserving Functionality appeared first on …

ai shorts applications architecture artificial intelligence attention deepmind editors pick figure function google google deepmind industry language language processing machine machine learning machine translation natural natural language natural language processing networks neural networks processing question answering researchers staff standard tech news technology text transformer transformer architecture translation

More from / MarkTechPost

Research Scholar (Technical Research)

@ Centre for the Governance of AI | Hybrid; Oxford, UK

HPC Engineer (x/f/m) - DACH

@ Meshcapade GmbH | Remote, Germany

Encounter Data Management Professional

@ Humana | Work at Home - Kentucky

Pre-sales Manager (Data, Analytics & AI)

@ Databricks | Stockholm, Sweden

Lecturer / Senior Lecturer - Medical Imaging

@ Central Queensland University | Mackay, QLD, AU

Intern - Research Engineer

@ Plus | Santa Clara, CA