Browsing: Model Capacity

This article discusses strategies for scaling deep chemical models and investigates neural-scaling behaviour in large language models (LLMs) and graph neural networks (GNNs) for…

Recent research has explored how generalization error improves in Deep Neural Networks by increasing model capacity, contrary to the bias-variance tradeoff. It has been…