Few-shot learning

Some Machine learning models can learn from just a few demonstrations. For instance, LLMs (esp. the generative models like GPT) are great few-shot learners.

The demonstrations may not need to provide the correct answers. The primary effect of demonstrations may be providing the right context to the model. See Min2022rethinking.