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  - **Transformer**:4.35.2
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- ## Applicability in medicine
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- Our NOTE has generated a sequential dataset by considering both table data and text data, which can aid in patient-specific report generation.
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- Furthermore, it suggests that within medical institutions where medical data import/export is challenging, it is possible to self-tune and utilize LLMs, proposing this through demo software.
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  ## Limitations
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  The model was limited in character count for comparison with the existing T5 model, but it is planned to be expanded in future research.
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  ## INMED DATA
 
 
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  - **Transformer**:4.35.2
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  ## Limitations
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  The model was limited in character count for comparison with the existing T5 model, but it is planned to be expanded in future research.
 
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  ## INMED DATA
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+ INMED DATA is developing large language models (LLMs) specifically tailored for medical applications. For more information, please visit our website [TBD].