MLLMs
Artificial Intelligence
EAGLE: Exploring the Design Space for Multimodal Large Language Models with a Mixture of Encoders
The flexibility to accurately interpret complex visual information is a vital focus of multimodal large language models (MLLMs). Recent work shows that enhanced visual perception significantly reduces hallucinations and improves performance on resolution-sensitive tasks,...
Artificial Intelligence
A Easy Recipe to Boost the Performance of MLLMs on Your Custom Use Case
An MLLM fine-tuning tutorial using the latest pocket-sized Mini-InternVL modelWe'll evaluate the performance of our model using a fuzzy similarity rating, a metric that measures the similarity between predicted and ground truth entities. This...
Artificial Intelligence
Guiding Instruction-Based Image Editing via Multimodal Large Language Models
Visual design tools and vision language models have widespread applications within the multimedia industry. Despite significant advancements lately, a solid understanding of those tools continues to be obligatory for his or her operation. To...
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