X Vector

X-vectors are versatile mathematical representations of data, primarily used to capture features for various machine learning tasks. Current research focuses on improving their efficiency and effectiveness through techniques like iterative pseudo-labeling, low-rank adaptations of pre-trained models, and integration with vector databases for faster retrieval. Applications span diverse fields, including speaker recognition, medical image analysis, and even improving the explainability of large language models in complex domains like sports officiating, demonstrating the broad impact of this fundamental representation method.