March 24, 2024, 3 a.m. | Vineet Kumar

MarkTechPost www.marktechpost.com

Large language models like GPT-4 are incredibly powerful, but they sometimes struggle with basic tasks involving visual perception – like counting objects in an image. It turns out part of the issue may stem from how these models process high-resolution images.  Most current multimodal AI systems can only perceive images at a fixed low resolution, […]


The post Seeing it All: LLaVA-UHD Perceives High-Resolution Images at Any Aspect Ratio appeared first on MarkTechPost.

ai paper summary ai shorts ai systems applications artificial intelligence basic computer vision current editors pick gpt gpt-4 image images issue language language models large language large language models llava multimodal multimodal ai objects part perception process resolution staff stem struggle systems tasks tech news technology visual

More from www.marktechpost.com / MarkTechPost

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Reporting & Data Analytics Lead (Sizewell C)

@ EDF | London, GB

Data Analyst

@ Notable | San Mateo, CA