The Blessing of Dimensionality: How Near-Orthogonality in High-Dimensional Spaces Explains Temporal Portability

Researchers have introduced PortLLM, a framework designed to improve temporal portability when fine-tuning large language models. By leveraging the geometric properties of high-dimensional vector spaces, the method aims to enhance how models retain and transfer knowledge across different domain-specific tasks while maintaining computational efficiency.