Nov. 3, 2023, 1:24 p.m. | Pragati Jhunjhunwala

MarkTechPost www.marktechpost.com

Researchers from China have introduced a new corrective AI framework called Woodpecker to address the problem of hallucinations in Multimodal Large Language Models (MLLMs). These models, which combine text and image processing, often generate text descriptions that do not accurately reflect the content of the provided images. Such inaccuracies are categorized as object-level hallucinations (involving […]


The post This AI Research from China Introduces ‘Woodpecker’: An Innovative Artificial Intelligence Framework Designed to Correct Hallucinations in Multimodal Large Language Models (MLLMs) …

ai framework ai research ai shorts applications artificial artificial intelligence china deep learning editors pick framework generate hallucinations image image processing intelligence language language model language models large language large language model large language models mllms multimodal multimodal ai processing research researchers staff tech news technology text woodpecker

More from www.marktechpost.com / MarkTechPost

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US