Neowin

NVIDIA registers the world's quickest BERT training time and largest transformer-based model

The company's immensely powerful DGX SuperPOD trains BERT-Large in a record-breaking 53 minutes and trains GPT-2 8B, the world's largest transformer-based network, with 8.3 billion parameters. NVIDIA ...
VentureBeat

Nvidia trains world’s largest Transformer-based language model

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Nvidia today announced that it has trained the world’s largest language ...
Android Police

What is the BERT language model and how does it work?

Alan is a technology author based in Nova Scotia, Canada. A computer enthusiast since his youth, Alan stays current on what is new and what is next. With over 30 years of experience in computer, video ...
VentureBeat

Microsoft open-sources ONNX Runtime model to speed up Google’s BERT

Microsoft Research AI today said it plans to open-source an optimized version of Google’s popular BERT natural language model designed to work with the ONNX Runtime inference engine. Microsoft uses to ...
Android Police

Transformers: Everything you need to know about the deep learning model

Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...
The Next Web

What’s the transformer machine learning model? And why should you care?

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...
Visual Studio Magazine

How to Compute Transformer Architecture Model Accuracy

Dr. James McCaffrey of Microsoft Research uses the Hugging Face library to simplify the implementation of NLP systems using Transformer Architecture (TA) models. This article explains how to compute ...