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How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites
April 26, 2024, 4:45 a.m. | Zhe Chen, Weiyun Wang, Hao Tian, Shenglong Ye, Zhangwei Gao, Erfei Cui, Wenwen Tong, Kongzhi Hu, Jiapeng Luo, Zheng Ma, Ji Ma, Jiaqi Wang, Xiaoyi Dong
cs.CV updates on arXiv.org arxiv.org
Abstract: In this report, we introduce InternVL 1.5, an open-source multimodal large language model (MLLM) to bridge the capability gap between open-source and proprietary commercial models in multimodal understanding. We introduce three simple improvements: (1) Strong Vision Encoder: we explored a continuous learning strategy for the large-scale vision foundation model -- InternViT-6B, boosting its visual understanding capabilities, and making it can be transferred and reused in different LLMs. (2) Dynamic High-Resolution: we divide images into tiles …
arxiv commercial cs.cv gap gpt gpt-4v multimodal multimodal models type
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