Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models 树雨 17 人赞同了该文章 本文简要介绍由华中科技大学联合金山的研究人员提出的多模态大模型Monkey,通过低成本扩大分辨率+详细描述,帮助模型炼就洞察图像细节的火眼金睛,刷新多项SOTA,甚至能够完成GPT4V都发愁的密集文本问答...
5H. Liu, C. Li, Q. Wu, and Y. J. Lee, “Visual instruction tuning,”NeurIPS, 2023. 6D. Zhu, J. Chen, X. Shen, X. Li, and M. Elhoseiny, “Minigpt-4: Enhancing vision-language understanding with advanced large language models,”arXiv preprint arXiv:2304.10592, 2023. 7Y. Zhan...
Incorporating additional modalities to LLMs (Large Language Models) creates LMMs (Large Multimodal Models). Not all multimodal systems are LMMs. For example, text-to-image models like Midjourney, Stable Diffusion, and Dall-E are multimodal but don’t have a language model component. Multimodal ca...
capital of China, Sept. 19, 2024. A geographic sciences multi-modal LLM, the first of its kind in the world, was unveiled in Beijing on Thursday. It could support the integration of geography and artificial intelligence and help accelerate geographical discoveries...
up new possibilities for AI application scenarios, but also enhanced capabilities such as comprehensive codebase analysis, autonomous completion of multi-step complex tasks by intelligent agents, perpetual assistants that retain crucial information, and genuinely unified architecture of multimodal models. ...
BEIJING, Sept. 19 (Xinhua) -- A geographic sciences multi-modal Large Language Model (LLM), the first of its kind in the world, was unveiled in Beijing on Thursday. It could support the integration of geography and artificial intelligence and help accelerate geographical discoveries. ...
【CVPR 2024 Highlight】Monkey (LMM): Image Resolution and Text Label Are Important Things for Large Multi-modal Models - Yuliang-Liu/Monkey
Awesome-Multimodal-Large-Language-Models. The survey of LMMs is very helpful! Citation If you find our work useful for your your research and applications, please cite using this BibTeX: @article{liu2023aligning,title={Aligning Large Multi-Modal Model with Robust Instruction Tuning},author={Liu,...
近期,大语言模型(Large Language Models,LLMs)已经在理解和生成自然语言上取得了空前的成功。 但是,人类依靠自己的大脑不仅仅可以读写文字,还可以看图、看视频、听音乐等。 所以,为了让 AI 更接近真实世界,将额外的模态比如图像输入,融入大语言模型从而打造多模态大模型(MLLMs,Multi-modal LLMs),被认为是 AI 发展...
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