Few-shot prompting may struggle with complex tasks needing deep context or specialized knowledge. Its performance depends heavily on the quality of the provided examples. It can be less effective with rare or ambiguous data, leading to inaccuracies. Its usefulness is limited if the model lacks sufficient pre-training.