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This work lays out the foundation for the development of Embodiment AI and sheds light on the big convergence of language, multimodal perception, action, and world modeling, which is a key step toward artificial general intelligence.
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Together with multimodal corpora, we construct large-scale...
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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.
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.
27 cze 2023 · 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-2.5 is a multimodal literate model for machine reading of text-intensive images. Pre-trained on large-scale text-intensive images, Kosmos-2.5 excels in two distinct yet cooperative transcription tasks: (1) generating spatially-aware text blocks, where each block of text is assigned its spatial coordinates within the image, and (2 ...
9 lis 2023 · KOSMOS-2 represents a leap forward in the field of multimodal AI. Its ability to precisely understand and describe text and images opens up possibilities. As AI grows, models like KOSMOS-2 drive us closer to realizing advanced machine intelligence and are set to revolutionize industries.
26 cze 2023 · Kosmos-2, a Multimodal Large Language Model (MLLM), is introduced, enabling new capabilities of perceiving object descriptions and grounding text to the visual world and sheds light on the big convergence of language, multimodal perception, action, and world modeling.
