Context learning adjusts responses based on broader situational awareness using ongoing information. Few-shot prompting uses specific examples to guide task-specific outputs. Both improve model accuracy, but context learning leverages continuous data, while few-shot prompting focuses on minimal, explicit examples for particular tasks.