Tabular data is a broad term that encompasses structured data that generally fits into a specific row and column. It can be a SQL database, a spreadsheet, a .CSV file, etc.
While there has been tremendous progress on artificial intelligence applied to unstructured and sequential data, these large language models are fuzzy by design. They are built to manipulate input tokens to generate a coherent output without necessarily following a fixed structure. The best LLMs are also either expensive to access via an API or expensive to run on your own cloud…