Large language models driven neural architecture search for universal and lightweight disease diagnosis on histopathology slide images
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Research is being conducted on the use of large language models for disease diagnosis on histopathology slide images, with a focus on creating universal and lightweight models. The application of large language models is also being explored in other areas, including materials discovery, diagnostic reasoning, and knowledge graph reasoning. The broader implications and potential optimizations of large language models are being discussed across various fields, including biology, chemistry, and artificial intelligence.
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