

Kosmos 2
Overview :
Kosmos-2 is a multi-modal large language model that can associate natural language with various input forms like images and videos. It can be used for tasks such as phrase localization, referential understanding, referential expression generation, image description, and visual question answering. Kosmos-2 is trained and evaluated using the GRIT dataset, which contains a large amount of image-text pairs. Kosmos-2's strength lies in its ability to associate natural language with visual information, thereby enhancing model performance.
Target Users :
Kosmos-2 can be used to solve multi-modal tasks in natural language processing, such as image description and visual question answering.
Use Cases
Using Kosmos-2 for image description
Using Kosmos-2 for visual question answering
Using Kosmos-2 for referential expression generation
Features
Phrase Localization
Referential Understanding
Referential Expression Generation
Image Description
Visual Question Answering
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