Generalization and Transfer Learning

It's exactly like you said. We basically use those for training. But once a model is trained, it would simply be about inference. And customer does not necessarily have to have heavy weaponry as such. Exactly. So that kind of leads me to the question about generalization and transfer learning, in a sense. For example, if you train a model on New York City, can you apply that model to San Francisco? If you do need to then look at San Francisco, do you have to start from scratch? Or can you do kind of a traditional transfer learning type of fine tuning? Does that, is there an analogy of that kind of fine tuning and reinforcement learning? How does that