Vision Language Models (VLMs) represent a significant advancement in AI, bridging the gap between visual perception and natural language understanding. These models are designed to understand and generate language in the context of visual inputs, such as images or videos.
VLMs are used in various applications, including image captioning, visual question answering, and image generation from text descriptions. They are also used in tasks such as object detection and scene understanding, where both visual and textual context are important.
