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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. June 2023: 🔥 We release the Kosmos-2: Grounding Multimodal Large Language Models to the World paper.
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 is a Transformer-based causal language model and is trained using the next-word prediction task on a web-scale dataset of grounded image-text pairs GRIT.
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Constructs an KOSMOS-2 processor which wraps a KOSMOS-2 image processor and a KOSMOS-2 tokenizer into a single processor. Kosmos2Processor offers all the functionalities of CLIPImageProcessor and some functionalities of XLMRobertaTokenizerFast .
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. Microsoft Kosmos-2 jest prototypem Embodiment AI
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.
