Visual Foundation Model (VFM) is used for tasks related to visual understanding or processing that is the specialised tools in an AI toolkit, a generative AI to understand and process visual information. VFMs refer to large-scale pretrained neural network architectures that serve as the basis or foundation for various downstream computer vision tasks, usually incorporate components of large language models to enable image generation using text-based input prompts.
Related Definitions in the Project: The Computer Technology
