Instruction: Describe strategies for adapting an NLP model trained on one domain or type of text to perform well on a significantly different domain.
Context: This question evaluates the candidate's ability to transfer learning across different contexts and their strategic approach to maintaining model performance.
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The way I'd approach it in an interview is this: I approach domain adaptation by first identifying what actually changes across domains: vocabulary, label definitions, style, entity types, or user intent. Then I decide whether prompting, retrieval, fine-tuning, or better...