Prompt engineering is the process of designing and optimizing prompts to improve the performance of [[large language model|large language models]]. It involves carefully crafting the input provided to the model to help it understand the task it is being asked to perform and generate more accurate and relevant responses. Prompt engineering can involve techniques such as [[few-shot prompting]], or [[zero-shot prompting]]. Prompt engineering is an important part of natural language processing and can significantly improve the performance of large language models. < [[Hands-on LLMs]]/[[5 Prompting]] > [[principles of prompting]]