Elizabeth Szkirpan writes: “Artificial intelligence (AI) literacy feels like a natural extension of information literacy. Like information, AI is now everywhere; it can be hard to discern fact from fiction, and we cannot always protect our users from poor-quality versions of it. It is challenging to directly compare most AI tools apples-to-apples because the underlying corpus, training process, and intended uses can vary widely. However, practical benchmarking questions can help librarians compare models to one another or be used to guide users through the reference interview in order to select the best model for the task at hand.”