training
Few-shot Learning
The ability of a model to perform a task after being shown only a few examples in the prompt. Few-shot learning leverages the model's pre-trained knowledge to generalize from minimal demonstrations without additional training.
In practice
Showing a model three examples of sentiment analysis, then asking it to classify a new sentence, is few-shot learning.