A review of prompt engineering methods in large language models

Message:
Article Type:
Review Article (دارای رتبه معتبر)
Abstract:

Prompt engineering is the process of structuring input text for large language models. This process is considered very necessary to optimize the performance of large language models; but at the same time, it is a challenging process. The purpose of this research is to investigate the basics of prompt engineering and the basics and advanced methods of writing prompts, and it also investigates the evaluation methods and applications of prompt engineering in processing natural losses. This research shows how understanding prompt engineering can be effective in improving the results of intelligent content creation tools and reducing the machine Hallucination phenomenon, and also provides valuable insights for researchers to explore in this field. Research in prompt engineering, investigating the basics and techniques and understanding its applications can help manage information and knowledge in terms of improving the accuracy and quality of information, reducing errors caused by machine Hallucination, data analysis, increasing the efficiency of content production, facilitating access. It helps data analysis, and generally improves the quality of information and, as a result, facilitates decision-making processes.

Language:
Persian
Published:
Engineering Management and Soft Computing, Volume:10 Issue: 2, 2025
Pages:
246 to 279
https://www.magiran.com/p2836121