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We evaluate Kosmos-2 on a wide range of tasks, including (i) multimodal grounding, such as referring expression comprehension, and phrase grounding, (ii) multimodal referring, such as referring expression generation, (iii) perception-language tasks, and (iv) language understanding and generation.
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Together with multimodal corpora, we construct large-scale...
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Kosmos-2: Grounding Multimodal Large Language Models to the World. [paper] [dataset] [online demo hosted by HuggingFace] Aug 2023: We acknowledge ydshieh at HuggingFace for the online demo and the HuggingFace's transformers implementation.
Experience the AI Revolution with KOSMOS-2: Microsoft's Cutting-Edge Breakthrough for Real-Time Text, Images, Video & Sound Generation!Get ready to witness t...
Microsoft’s Kosmos 2: Everything You Need to Know About the Future of Multimodal Ai. In this captivating presentation, we'll delve into the revolutionary world of Kosmos-2, an exceptional ...
KOSMOS-2 Overview. The KOSMOS-2 model was proposed in Kosmos-2: Grounding Multimodal Large Language Models to the World by Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Furu Wei.
29 cze 2023 · Według badań Kosmos-2 jest modelem językowym, który umożliwia nowe możliwości postrzegania opisów obiektów (np. ramek ograniczających) i łączenia tekstu ze światem wizualnym.
26 cze 2023 · Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Furu Wei. We introduce Kosmos-2, a Multimodal Large Language Model (MLLM), enabling new capabilities of perceiving object descriptions (e.g., bounding boxes) and grounding text to the visual world.