Musk xAI's first research results released

October 23 news, according to quantum bit reported on October 21, recently, Musk xAI first research results released, founding member, chu shingtung disciple yangge for the co-authored, the paper continued his previous research - describing the neural network architecture of the unified programming language Tensor Programs, focusing on exploring the "how to train infinite deep networks". The paper continues his previous research on Tensor Programs, a unified programming language for describing neural network architectures, and focuses on "how to train infinite deep networks". According to the introduction, Tensor Programs is one of Younger's long-term research goals: to use mathematical language to build the underlying programming language that can describe and analyze the architecture of neural networks, and its related results have been applied in GPT-4. The paper published this time investigates the extension of residual networks (ResNet) in the depth direction, and the authors propose the Depth-μP method, which can realize the hyperparameter migration in the depth direction.