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.
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 ...
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 ...
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 ...
Hosted on MSN

Transformers Returns to G1 With New Model Kit Series Release Starring Bumblebee, Megatron & More

Yolopark has become one of the most notable third-party companies to handle Transformers toys, and it's not slowing down anytime soon. Now, the company is going back to the days of Generation 1 with ...
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.

Model Showcase 2: New Architectural Approaches in Language Models

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...