LLMs Without Deep Neural Networks: New Architecture, Benefits and Case Study 事件

LLMs Without Deep Neural Networks: New Architecture, Benefits and Case Study arXiv:2605.30385v1 Announce Type: cross Abstract: The purpose of this article is to provide validation to my deep neural network alternative in the context of LLMs. Very recently, there has been a significant interest by Chinese researchers in a model called RBF network, as a substitute to standard DNNs, with increased explainability and higher accuracy. It turns out that my new model, discovered independently, is base