VideoRAG, or Retrieval-Augmented Generation for Extreme Long-Context Videos, is a novel framework designed to enable large language models to comprehend multi-hour video content efficiently. ...
V-JEPA 2: Meta’s Breakthrough in AI for the Physical World
The ultimate goal for many in artificial intelligence is to build agents that can perceive, reason, and act in our complex physical world. Meta AI has made a significant stride toward this vision ...
VLM for Video Understanding with Spatial and Temporal Context: NVIDIA Cosmos Reason1
NVIDIA's Cosmos Reason1 is a family of Vision Language Models trained to understand the physical world and make decisions for embodied reasoning. What makes Cosmos Reason1, as a promising contender ...
