I wonder if you can share an example of running offline batch inference with vLLM on video understanding, where the videos are loaded from local paths?

Grass and Inference.net today announced the launch of ClipTagger-12b, a new video annotation model built to identify actions, objects, and logos in video with high accuracy and detail. Applicable ...

Trained on one of the world’s largest real-world video datasets from Grass and hosted on Inference.net’s scalable AI infrastructure, the model delivers high-accuracy video annotation at a fraction of ...

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical ...

LLMs are key targets for fast-evolving attacks, including prompt injection, jailbreaking, and sensitive data exfiltration. It is necessary to adapt defense mechanisms that move beyond static ...

Abstract: Cross-domain recommender systems can effectively address the data sparsity and cold-start problems in traditional recommender systems. However, such systems may inadvertently leak user ...

What if you could create breathtaking video scenes—complete with lifelike characters, dynamic motion, and surreal effects—without ever touching a camera? Welcome to the world of Midjourney AI, a new ...

Artificial intelligence chip startup Cerebras Systems Inc. is heralding the launch of Qwen3-32B, one of the most advanced and powerful open-weight large language models in the world, as proof of its ...

Researchers have tested a method for rewriting blocked prompts in text-to-video systems so they slip past safety filters without changing their meaning. The approach worked across several platforms, ...

A Patriot air-defense system is moving from Israel to Ukraine, and Western allies are discussing the logistics of getting Germany or Greece to send another. By Kim Barker Helene Cooper Lara Jakes and ...

Download PDF Join the Discussion View in the ACM Digital Library Figure 1. An example of interaction between a Travel Agent and a user. The agent can serve as an information carrier for travel-related ...