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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.
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.
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.
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.
29 cze 2023 · I wydaje się, że Embodiment AI to kolejne zadanie w rozwoju AI. Ale Microsoft może po prostu znaleźć odpowiedź dzięki innym badaniom nad sztuczną inteligencją. Tym razem chodzi o Kosmos-2 , nowy model AI, który kładzie podwaliny pod Embodiment AI.
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.
Kosmos-2: Grounding Multimodal Large Language Models to the World - Microsoft 2023 - Only 1.5B parameters! Foundation for the development of Embodiment AI, shows the big convergence of language, multimodal perception, action, and world modeling, which is a key step to AGI! Paper: https://arxiv.org/abs/2306.14824.
