Journal of Engineering and Applied Sciences Technology

Generative AI technologies are reshaping multiple sectors by enhancing how tasks are executed, and information is processed. With advancements from companies like OpenAI, Microsoft, and Google, these AI agents have become pivotal in automating workflows, generating text that resembles human writing, and offering actionable insights. Central to harnessing their potential is mastering prompt engineering-the art of designing effective queries to optimize AI responses. This article delves into the burgeoning field of generative AI, emphasizing the significance of prompt engineering in enhancing the interaction with these sophisticated tools. It provides an overview of leading AI tools like ChatGPT, Microsoft Copilot, and Google Bard, explores the technical underpinnings of these models, and addresses key aspects of prompt engineering including linguistic nuances, iterative refinement, and bias mitigation. The article also examines practical strategies for mastering prompt engineering, discusses security concerns such as prompt injection attacks and data privacy, and highlights future trends in AI technology. Through case studies and expert insights, the article underscores the critical role of prompt engineering in maximizing the effectiveness and ethical use of generative AI systems.