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,...
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...
Recently, vision model pre-training has evolved from relying on manually annotated datasets to leveraging large-scale, web-crawled image-text data. Despite these advances, there is no pre-training method that effectively exploits the interleaved image-text data, which is very prevalent on the Intern...
Moonshot AI's co-founder, Zhou Xinyu, said that the company is set to launch its proprietary multimodal large model within the year, alongside rapid progress in commercialization efforts. Moonshot AI, founded in March 2023, has quickly become a key player in the domestic large model field. Its...
a large data (e.g. ImageNet) pre-trained feature extractor is used to initialize the source model at the start of source training, and subsequently discarded. Despite having diverse features important for generalization, the pre-trained feature extractor can overfit to the source data distribution...
Moonshot AI's co-founder, Zhou Xinyu, said that the company is set to launch its proprietary multimodal large model within the year, alongside rapidprogressin commercialization efforts. Moonshot AI, founded in March 2023, has quickly become a key player in the domestic large model field. Its ...
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...
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In the realm of large multi-modal models (LMMs), efficient modality alignment is crucial yet often constrained by the scarcity of high-quality image-text data. To address this bottleneck, we introduce the ShareGPT4V dataset, a pioneering large-scale resource featuring 1.2 million highly descriptive...
finetuned_sbert_model = finetuner.get_model(sbert_run.artifact_id) 然后,提取成对的产品图像和类别名称,用相同的步骤构造用于微调的 CLIP DocumentArray 对象,其目的是通过训练模型使得类别名称向量和图像向量的距离更近。 # create and submit CLIP finetuning job clip_run = finetuner.fit( model='...