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. ...
Latest From the Blog
AI Agent in Action: Automating Desktop Tasks with VLMs
AI Agents are usually API-bound workflows, designed to execute specific tasks with minimal human intervention. But when it comes to generic, open-ended automation, we’re still in the very early days. ...
The Ultimate Guide To VLM Evaluation Metrics, Datasets, And Benchmarks
Vision-Language Models (VLMs) are powerful and figuring out how well they actually work is a real challenge. There isn’t one single test that covers everything they can do. Instead, we need to use the ...
Getting Started with VLM on Jetson Nano
Tiny Vision Language Models (VLMs) are rapidly transforming the AI landscape. Almost every week, new VLMs with smaller footprints are being released. These models are finding applications across ...
VLM on Edge: Worth the Hype or Just a Novelty?
In 2018, Pete Warden from TensorFlow Lite said, “The future of machine learning is tiny.” Today, with AI moving towards powerful Vision Language Models (VLMs), the need for high computing power has ...
AnomalyCLIP : Harnessing CLIP for Weakly-Supervised Video Anomaly Recognition
Video Anomaly Detection (VAD) is one of the most challenging problems in computer vision. It involves identifying rare, abnormal events in videos - such as burglary, fighting, or accidents - amidst ...
