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Información - Large Language Models for Data Preprocessing
Leveraging Large Language Models for Enhanced Data Preprocessing: A Comprehensive Analysis of Capabilities, Limitations, and Future Directions
Large language models (LLMs) demonstrate significant potential in revolutionizing data preprocessing tasks for data mining and analytics, exhibiting high accuracy in error detection, data imputation, schema matching, and entity matching, but require further development to overcome limitations in domain specificity, computational expense, and occasional factual inaccuracies.
Utilizing Large Language Models for Data Preprocessing: The Jellyfish Approach
Instruction-tuned LLMs like Jellyfish enhance DP performance and generalizability.
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