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Cell Mates: Extracting Useful Information from Tables for LLMs
We seem to have cracked the art of distilling information in words and images using large machine learning models. But our ability to exploit useful information in tabular data using large models is mostly missing. The upshot is that LLMs don't largely encode the knowledge from these tabular datasets, e.
By Gaurav in Statistics — 06 May 2025 We seem to have cracked the art of distilling information in words and images using large machine learning models. The upshot is that LLMs don't largely encode the knowledge from these tabular datasets, e.g., survey data, etc., outside of the statistical summaries that may have been published. We could augment these further by prompting the LLM to propose the kinds of questions that we could pose to the data and learn from it.
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