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Maroc Maroc - UNITE.AI - A La Une - 10/Sep 18:25

EAGLE: Exploring the Design Space for Multimodal Large Language Models with a Mixture of Encoders

The ability to accurately interpret complex visual information is a crucial focus of multimodal large language models (MLLMs). Recent work shows that enhanced visual perception significantly reduces hallucinations and improves performance on resolution-sensitive tasks, such as optical character recognition and document analysis. Several recent MLLMs achieve this by utilizing a mixture of vision encoders. Despite […] The post EAGLE: Exploring the Design Space for Multimodal Large Language Models with a Mixture of Encoders appeared first on Unite.AI.

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