liyaooi/TAMO
TAMO: reimagine Table representation as an independent Modality for LLMs
This project helps data scientists and researchers improve how large language models (LLMs) understand and reason with tabular data. It takes structured table data alongside text queries and outputs more accurate responses by treating tables as a distinct information type, rather than just plain text. This is for professionals who work with LLMs and need them to perform better on tasks involving tables, like answering questions from databases or spreadsheets.
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Use this if you are a data scientist or researcher working with large language models that struggle to accurately interpret and utilize information presented in tables.
Not ideal if you are looking for a general-purpose tool to analyze or visualize tabular data without involving large language models.
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Language
Python
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Last pushed
May 23, 2025
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