The Feasibility of Applying Prompt Engineering Based on Large Language Models in the Public Domain
Yu Gao, Lei Xiao, Yuxiang Shen, Rongshang Chen · 2025
With the rapid development of Large Language Models (LLMs), they have demonstrated powerful capabilities in fields such as natural language processing (NLP) and data mining. Currently, we are in an era of data explosion, with various types of data emerging in vast quantities. Data processing methods need to be constantly updated to adapt to the development of the times. This article aims to explore and focus on the existing LLMs, continuously attempting to change the prompt words from different angles, such as tone and providing context information, etc., to achieve different output effects.