A method where models are guided to perform tasks using examples provided in the input prompt.
More about In-Context Learning
In-Context Learning enables AI models to perform tasks by including examples or context directly in the input prompt. This approach leverages pre-trained models like PLMs to adapt to new tasks without additional fine-tuning.
In-context learning is particularly effective for tasks like question answering, prompt engineering, and retrieval fusion, where contextual examples guide model behavior.
