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Furthermore, what is few-shot learning? - IBM. This aspect of What Is Few Shot Learning Strategies And Examples plays a vital role in practical applications.

Moreover, few-shot learning (FSL) is a machine learning approach where models learn to make accurate predictions given only a very small number of labeled examples per class . In essence, the model must generalize to new classes or tasks using just a handful of training samples, mimicking how humans can learn from only a few examples. This aspect of What Is Few Shot Learning Strategies And Examples plays a vital role in practical applications.

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