What is Prompt Engineering

Prompt engineering typically refers to the process of designing, refining, and optimizing prompts used in natural language processing (NLP) systems, particularly in the context of machine learning models like GPT (Generative Pre-trained Transformer) models.

The goal of prompt engineering is to improve the performance and robustness of NLP models by designing prompts that encourage accurate and relevant outputs while minimizing bias, ambiguity, and unintended behavior. This process often involves iterative experimentation, data analysis, and fine-tuning to achieve optimal results for specific applications and domains.