Building renewable energy plants to meet our energy needs is critical to transitioning away from fossil fuels and tackling global warming — but how do people who live near these plants feel about them? Reports of community opposition have been used against renewable energy. Scientists surveyed communities across the US living within three miles — about an hour’s walk — of solar energy and found that 82% of local residents would support or are neutral towards more solar energy plants in their local area. 

Carnegie Mellon University researchers have proposed a new approach for teaching everyday users how to create these prompts and improving their interactions with generative artificial intelligence models.

The method, called Requirement-Oriented Prompt Engineering (ROPE), shifts the focus of prompt writing from clever tricks and templates to clearly stating what the AI should do. As large language models (LLMs) improve, the importance of coding skills may wane while expertise in prompt engineering could rise.