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Kosmos-2 is a multi-modal large-scale language model that can associate natural language with various forms of input such as images and videos. It can be used for tasks such as phrase positioning, referential expression understanding, referential expression generation, image description, and visual question answering. Kosmos-2 uses the GRIT dataset, which contains a large number of image-text pairs and can be used for model training and evaluation. The advantage of Kosmos-2 is that it can correlate natural language with visual information, thereby improving model performance.
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