Token Reduction

Token Reduction is a technique aimed at reducing the number of tokens in natural language processing tasks by optimizing input sequences, thereby enhancing the computational efficiency and response speed of models. In applications that combine computer vision and natural language processing, Token Reduction can effectively lower data transmission and processing costs, improve overall system performance, and enhance user experience.