Prompt Engineering
Samir Lemeš
Abstract
Prompt engineering is the process of designing, testing, and optimizing prompts that are sent to artificial intelligence (AI), especially large language models like GPT-4. The goal is to formulate the prompts in a way that allows the AI model to provide the most relevant, accurate and useful answers. This process involves understanding how the AI model interprets and responds to different query formulations, as well as tailoring those queries for different applications. Well-designed prompts can significantly improve the performance of AI systems, making them more useful and efficient for various applications. In the context of Industry 4.0, where AI is used for production optimization, equipment maintenance, data analytics and other critical functions, more efficient prompts can contribute to increased productivity and reduced costs. Prompt engineering is an interdisciplinary field that requires understanding of natural language, artificial intelligence, and domain-specific applications. As AI models become more sophisticated, the role of prompt engineering will become even more important in leveraging their full potential.