A team is developing a customer service chatbot using a pre-trained foundation model. Instead of extensively retraining the entire model for their specific company's tone and common query types, they are experimenting with adding a small set of task-specific "prefix" data that guides the existing model's behavior at inference time, without changing its underlying weights. This technique of adapting a model's output by modifying its input prompts with learned, task-specific instructions is known as: