Explain the concept of zero-shot and few-shot learning in NLP.
Instruction: Discuss how these learning paradigms are implemented and their significance in NLP.
Context: This question explores the candidate's knowledge of advanced learning techniques and their potential to reduce the need for large annotated datasets in NLP.
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Zero-shot learning means asking a model to perform a task from instructions alone, while few-shot learning means giving it a small number of examples in the prompt...