The researchers from The Chinese University of Hong Kong, Shenzhen and SmartMore have introduced a novel framework named Mini-Gemini, which propels the development of VLMs through a dual-encoder system and patch information mining technology. Mini-Gemini excels in multiple zero-shot benchmarks, outperforming existing models. The framework employs a dual-encoder system, patch information mining, and high-quality datasets to advance VLMs. Mini-Gemini demonstrates efficiency and precision in handling complex visual and textual tasks. The application scope and performance of the Gemini model continue to be expanded, showcasing the immense potential in the AI field.