Prompt engineering is the process of designing and optimizing input prompts for generative artificial intelligence models. A prompt, a short piece of text or other input, serves as the starting point for the model to generate new content. In the context of recent breakthroughs in generative AI, such as ChatGPT, the quality and relevance of prompts are becoming increasingly important. It is becoming evident that English may become the de facto programming language for prompt engineering. The primary objective of this project is to analyze and explore techniques and database structures that can be used to improve prompt engineering. Specifically, we aim to gain a deeper understanding of the capabilities of AI models and the sources of errors that arise during prompt generation. We hope to develop new approaches to optimize prompts and improve the quality of content generated by AI models.
