QuestionQ69
Core Machine Learning and AI KnowledgeIn an NLP application, which approach is most effective for using zero-shot learning to classify text data into categories not encountered during training?
- A Train the new model from scratch for each new category encountered.
- B Use rule-based systems to manually define the characteristics of each category.
- C Use a pre-trained language model with semantic embeddings.
- D Use a large, labeled dataset for each possible category.
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