Transfer learning in AI models refers to the process of using an existing model as a starting point for a new project. This gives projects a head start, though it comes with limitations. Transfer learning works best when the existing model addresses a general situation, with the new project diving deeper into more specifics. As AI capabilities become more sophisticated, the latitude of transfer learning start/end points should increasingly widen.