A Visual Model Of Self-Attention: Transformers Work Differently Now

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
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 ...
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 ...
inc42

What Are Transformer-Based Models? Here’s All You Need to Know

What Is A Transformer-Based Model? Transformer-based models are a powerful type of neural network architecture that has revolutionised the field of natural language processing (NLP) in recent years.
VentureBeat

Microsoft trains world's largest Transformer language model

Microsoft AI & Research today shared what it calls the largest Transformer-based language generation model ever and open-sourced a deep learning library named DeepSpeed to make distributed training of ...
Search Engine Land

Transformer architecture: An SEO’s guide

As we encounter advanced technologies like ChatGPT and BERT daily, it’s intriguing to delve into the core technology driving them – transformers. This article aims to simplify transformers, explaining ...
Neowin

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

NVIDIA Corporation, the behemoth in the world of graphics processing units (GPUs), announced today that it had clocked the world's fastest training time for BERT-Large at 53 minutes and also trained ...