There’s a lot of discussion around using LLMs to generate compiler code via prompting, but this on-the-fly approach can be unreliable and brittle.
We propose 𝐑𝐮𝐥𝐞𝐅𝐥𝐨𝐰, a more reliable way to use LLMs for optimizing data-analysis programs (e.g, Pandas).
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