Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
LLM-FEgithub.comLLM FE is a framework that uses Large Language Models as evolutionary optimizers to automate feature engineering for tabular data. It iteratively generates and refines features using structured prompts to enhance machine learning model performance across classification and regression tasks.
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Sources
arxiv.org shapes more of what AI says about LLM-FE than any other source, at 100% of its citations.
