This article discusses the importance of prompt engineering in getting the most out of large language models (LLMs) like GPT. The study evaluates the effectiveness of eight different prompts in generating good summaries of news articles using OpenAI's Turbo model and introduces three new quantitative performance metrics ( Meteor , Formality Score , and PII Count ) to evaluate the effectiveness of different prompts.
















