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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.