Video Foundation Models: From Understanding to Execution
Video Foundation Models (VFMs) are large-scale AI models pre-trained on vast video datasets, enabling rapid development of applications like content analysis, summarization, and generation. This article explores how Video Transformer Models work, outlines their core capabilities, and provides a practical framework for choosing the right model. Learn how to move from research to execution by leveraging VFMs within an AI agent workspace to build powerful, automated video workflows.