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

New transformer architecture can make language models faster and resource-efficient

Large language models like ChatGPT and Llama-2 are notorious for their extensive memory and computational demands, making them costly to run. Trimming even a small fraction of their size can lead to ...
Geeky Gadgets

What are Transformer Models and how do they work?

Transformers, a groundbreaking architecture in the field of natural language processing (NLP), have revolutionized how machines understand and generate human language. This introduction will delve ...
Semiconductor Engineering

Achieving Greater Accuracy In Real-Time Vision Processing With Transformers

Transformers, first proposed in a Google research paper in 2017, were initially designed for natural language processing (NLP) tasks. Recently, researchers applied transformers to vision applications ...
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 ...
TechRadar

What are transformer models?

Transformers are a type of neural network architecture that was first developed by Google in its DeepMind laboratories. The tech was introduced to the world in a 2017 white paper called 'Attention is ...