Pre-trained vision models have been foundational to modern-day computer vision advances across various domains, such as image classification, object detection, and image segmentation. There is a ...

While multimodal models (LMMs) have advanced significantly for text and image tasks, video-based models remain underdeveloped. Videos are inherently complex, combining spatial and temporal dimensions ...

Bagel is a novel AI model architecture that transforms open-source AI development by enabling permissionless contributions and ensuring revenue attribution for contributors. Its design integrates ...

Have you ever admired how smartphone cameras isolate the main subject from the background, adding a subtle blur to the background based on depth? This "portrait mode" effect gives photographs a ...

AI and ML are expanding at a remarkable rate, which is marked by the evolution of numerous specialized subdomains. Recently, two core branches that have become central in academic research and ...

Large Language Models (LLMs) have become pivotal in artificial intelligence, powering a variety of applications from chatbots to content generation tools. However, their deployment at scale presents ...

Large Language Models (LLMs) have made significant progress in natural language processing, excelling in tasks like understanding, generation, and reasoning. However, challenges remain. Achieving ...

Artificial Intelligence has made significant strides, yet some challenges persist in advancing multimodal reasoning and planning capabilities. Tasks that demand abstract reasoning, scientific ...

Large Language Models (LLMs) have become essential tools in software development, offering capabilities such as generating code snippets, automating unit tests, and debugging. However, these models ...

Understanding long videos, such as 24-hour CCTV footage or full-length films, is a major challenge in video processing. Large Language Models (LLMs) have shown great potential in handling multimodal ...

Handoffs enable one Agent to pass control to another seamlessly. This allows specialized Agents to handle tasks better suited to their capabilities. # python agent_b ...

Researchers from NYU, MIT, and Google have proposed a fundamental framework for scaling diffusion models during inference time. Their approach moves beyond simply increasing denoising steps and ...