4 papers · 1 filter
Schrodinger's Memory: Large Language Models
Wei Wang, Qing Li
Memory is the foundation of all human activities; without memory, it would be nearly impossible for people to perform any task in daily life. With the development of Large Language…
Dynamic Universal Approximation Theory: Foundations for Parallelism in Neural Networks
Wei Wang, Qing Li
Neural networks are increasingly evolving towards training large models with big data, a method that has demonstrated superior performance across many tasks. However, this approach…
Dynamic Universal Approximation Theory: The Basic Theory for Deep Learning-Based Computer Vision Models
Wei Wang, Qing Li
Computer vision (CV) is one of the most crucial fields in artificial intelligence. In recent years, a variety of deep learning models based on convolutional neural networks (CNNs)…
Dynamic Universal Approximation Theory: The Basic Theory for Transformer-based Large Language Models
Wei Wang, Qing Li
Language models have emerged as a critical area of focus in artificial intelligence, particularly with the introduction of groundbreaking innovations like ChatGPT. Large-scale Tran…