AI Development, Convolutional Neural Networks and Magazine

Unraveling Transformer Optimization: A Hessian-Based Explanation for Adam’s Superiority over SGD

Marktechpost

SEPTEMBER 30, 2024

Large Language Models (LLMs) based on Transformer architectures have revolutionized AI development. While the Adam optimizer has become the standard for training Transformers, stochastic gradient descent with momentum (SGD), which is highly effective for convolutional neural networks (CNNs), performs worse on Transformer models.

Neural Network

Neural Network Convolutional Neural Networks BERT Explainability

Just Calm Down About GPT-4 Already

Flipboard

MAY 17, 2023

I don’t really enjoy driving, so when I see these pictures from popular magazines in the 1950s of people sitting in bubble-dome cars, facing each other, four people enjoying themselves playing cards on the highway, count me in. Convolutional neural networks being able to label regions of an image. Brooks: Absolutely.

Large Language Models

Large Language Models Robotics Convolutional Neural Networks Neural Network

Artificial Intelligence Zone

Unraveling Transformer Optimization: A Hessian-Based Explanation for Adam’s Superiority over SGD

Just Calm Down About GPT-4 Already

Webinars

Stay Connected