The Dynamic Pyramid Network (DPNet) offers an adaptive approach to optimize multimodal large language models by intelligently compressing visual features based on image complexity.

• Addresses computational expense in multimodal LLMs through smart visual compression
• Implements a hierarchical structure that preserves important visual semantics
• Uses dynamic routing to allocate more computational resources to complex images
• Achieves efficiency gains while maintaining high performance on vision-language tasks

This engineering breakthrough enables more practical deployment of multimodal LLMs in real-world applications where computational resources are limited.

Dynamic Pyramid Network for Efficient Multimodal Large Language Model