Making LLMs Smart With Transformers: It’s A Really Big Deal

Here’s how: prior to the transformer, what you had was essentially a set of weighted inputs. You had LSTMs (long short term memory networks) to enhance backpropagation – but there were still some ...
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 ...
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 ...
Forbes

Transformers Revolutionized AI. What Will Replace Them?

The transformer, today's dominant AI architecture, has interesting parallels to the alien language in the 2016 science fiction film "Arrival." If modern artificial intelligence has a founding document ...
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 make smarter calls on cost and impact. Generative AI has gone from research ...
ascopubs.org

Transformer-based deep learning model for integrated pathomics and radiomics in predicting postoperative survival of intrahepatic cholangiocarcinoma patients.

Hepatocellular carcinoma patients with portal vein thrombosis treated with robotic radiosurgery for long term outcome and analysis: CTRT:2022/01/050234. This is an ASCO Meeting Abstract from the 2025 ...
EurekAlert!

Path Planning Transformers supervised by IRRT*-RRMS for multi-mobile robots

In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.