Finextra

Vision Transformer in Computer Vision: Transforming the way, we look at Images

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...
eWeek

4 Reasons Transformer Models are Optimal for NLP

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...
InfoQ

NLP Library spaCy 3.0 Features Transformer-Based Models and Distributed Training

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Visual Studio Magazine

How to Fine-Tune a Transformer Architecture NLP Model

The goal is sentiment analysis -- accept the text of a movie review (such as, "This movie was a great waste of my time.") and output class 0 (negative review) or class 1 (positive review). This ...
VentureBeat

EleutherAI claims new NLP model approaches GPT-3-level performance

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More AI-powered language systems have transformative potential, particularly ...
InfoQ

ExBERT, a Tool for Exploring Learned Representations in NLP Models

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...