In the context of artificial intelligence (AI), the term „prompt engineering“ refers to the ability to formulate effective and precise instructions to improve the performance of AI models. Prompts can be understood as example questions, keywords or short text instructions given to an AI to solve a specific task.

The goal of prompt engineering in AI is to increase the effectiveness of AI models by focusing them on specific questions or problems. Prompts can help train AI models quickly and accurately on specific tasks by providing instructions or contextual information, for example.

A good example of the use of prompt engineering in the field of AI is text generation. Here, targeted prompts can help AI models generate more appropriate text by providing specific instructions or parameters. Another example is image recognition, where prompts can help AI models better identify specific objects or patterns in images.

Overall, prompt engineering can help improve the accuracy and effectiveness of AI models by focusing them on specific tasks. By using prompts, AI developers and engineers can achieve better results and respond more quickly and accurately to problems and challenges.