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Apply for community grant: Academic project (gpu and storage)
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tcy6
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๐ Our paper VisRAG: Vision-based Retrieval-Augmented Generation introduces the first multi-modal RAG pipeline using vision-language models (VLMs), achieving 25โ39% performance gains over traditional text-based RAG systems! ๐
To run the demo faster and more efficiently, we would like to apply for a GPU grant to support further development of VisRAG.
๐ Paper link: https://arxiv.org/abs/2410.10594
Iโm happy to answer any questions about our research. Thanks for your support!
โtcy6
tcy6
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