The race among companies to adapt AI has evolved: Instead of simply striving to be first, firms have turned their attention to learning how to deploy these powerful tools effectively. This development comes as companies discover that poorly crafted prompts—the set of instructions used to tell AI to perform a given task—and the use of unspecialized models are spawning inaccuracies and inefficiencies.
There are many examples of this evolution. Firms like Johnson & Johnson are creating libraries of prompts to share among staff to improve the quality of AI output. Other companies, including Starbucks, are taking things further by creating in-house models.
