A geographic sciences multi-modal Large Language Model, the first of its kind in the world, was unveiled in Beijing. The model, named Sigma Geography, was developed by a team of researchers from the Institute of Geographic Sciences and Natural Resources Research, the Institute of Tibetan Plateau...
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. The model,...
Multi-modal large language models (MLLMs) have shown incredible capabilities in a variety of 2D vision and language tasks. We extend MLLMs' perceptual capabilities to ground and reason about images in 3-dimensional space. To that end, we first develop a large-scale pre-training dataset for 2D...
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. The model,...
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大型语言模型(Large Language Model, LLM):Groma采用了预训练的Vicuna模型作为其语言模型,用于处理多模态输入和输出。 输入和输出格式化:Groma能够接受用户指定的区域作为输入,并生成与视觉上下文相关的回答。这通过使用代理标记(proxy tokens)来实现,这些标记在模型的文本输出中引用了相应的区域标记。
2.Scarcity of Multi-Modal Data: Large-scale multi-modal datasets are relatively scarce compared to their single-modal counterparts. Building high-quality, diverse multi-modal datasets for training can be resource-intensive. 3.Model Complexity: Multi-modal models are inherently more complex than their...
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. ...
Understanding the mechanisms of information storage and transfer in Transformer-based models is important for driving model understanding progress. Recent work has studied these mechanisms for Large Language Models (LLMs), revealing insights on how information is stored in a model’s parameters and how...
mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration mPLUG-OwI2：多模态大型语言模型的协同革命 论文链接：https://volctracer.com/w/nDJzJ3YE 论文作者：Qinghao Ye, Haiyang Xu, Jiabo Ye, Ming Yan, Anwen Hu, Haowei Liu, Qi Qian, Ji Zhang, Fei Huang, Jing...