REVOLUTIONIZING VIDEO UNDERSTANDING WITH STORM
STORM is changing the game in video understanding. Unlike traditional models that analyze one frame at a time, STORM uses Mamba adapters and temporal attention operations to tackle long videos. This method makes it easier to answer temporal questions, something previous models struggled with. A key comparison in the research is with Qwen models, showing how STORM outperforms them in handling complex video analysis. This could be a big leap for future multimodal LLMs!