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.
CIO

Understanding transformers: What every leader should know about the architecture powering GenAI

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
T&D

Testing Current Transformers with 'the Modeling Concept'

Omicron has introduced a way to test current transformers at all lifecycle stages by using a testing method called "the modeling concept". The "traditional" way of testing a current transformer is to ...

TII’s Falcon H1R 7B can out-reason models up to 7x its size — and it’s (mostly) open

According to TII’s technical report, the hybrid approach allows Falcon H1R 7B to maintain high throughput even as response ...
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 ...
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.
The Next Web

Understanding Transformers, the machine learning model behind GPT-3

You know that expression When you have a hammer, everything looks like a nail? Well, in machine learning, it seems like we really have discovered a magical hammer for which everything is, in fact, a ...