Context Learning

Context learning is a method where a model, like an AI, quickly adapts to new tasks by analyzing examples provided within the same information it processes, rather than undergoing extensive retraining. Think of it as giving the AI a few sample questions and answers, so it understands the pattern and can generate appropriate responses for new, similar tasks. This way, the AI leverages the context of the examples to infer how to handle the task efficiently, enabling rapid adaptation without needing to learn from scratch each time.