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.

In a new study, researchers from Boston University Chobanian & Avedisian School of Medicine, Massachusetts General Hospital (MGH) and Harvard Medical School, identified several uncharacterized chromatin factors (proteins that regulate gene expression) that are recruited to sites of DNA damage, including the gene ZNF280A. Importantly, this gene is hemizygously deleted – meaning one of the two copies of alleles is missing—in a subset of patients with a human developmental syndrome called 22q11.2 distal deletion syndrome.