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A data scientist wants to improve the domain knowledge of a pre-trained LLM without using labeled data. Which training technique should the data scientist use?
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Continued pre-training uses unlabeled domain-specific data to extend a pre-trained LLM's knowledge in a particular domain. Unlike fine-tuning which requires labeled data, continued pre-training can improve domain knowledge using raw text data without labels.
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