An Automatic Prompt Generation System for Tabular Data Tasks

arXiv:2405.05618v1 Announce Type: new
Abstract: Efficient processing of tabular data is important in various industries, especially when working with datasets containing a large number of columns. Large language models (LLMs) have demonstrated their ability on several tasks through carefully crafted prompts. However, creating effective prompts for tabular datasets is challenging due to the structured nature of the data and the need to manage numerous columns. This paper presents an innovative auto-prompt generation system suitable for multiple LLMs, with minimal training. …

abstract arxiv cs.lg data datasets however industries language language models large language large language models llms processing prompt prompts tabular tabular data tasks through type