Graph Neural Networks, Cs224w, Llm, Scaling Law, Artificial Intelligence.
a ‘model’ and ‘data’ perspective. To validate neural scaling laws, one approach is to use model parameters, training dataset size, and amount of computation as independent variables, with test error as the dependent variable. An obvious question arises regarding the relationship between model