Multimodal Large Language Model

A Multimodal Large Language Model is an advanced deep learning model that integrates natural language processing and computer vision technologies, aiming to understand and generate multimodal data. By combining multiple information sources such as text and images, the model achieves richer semantic understanding and expression, thereby enhancing performance in complex scenarios. Its primary goal is to improve the model's generalization ability and interactive experience, making it widely applicable in areas like content creation, intelligent assistants, and virtual reality, with significant research and application value.