Instruction: Describe what transfer learning is and how it is applied in the context of Large Language Models.
Context: This question probes the candidate's understanding of the methodology by which LLMs leverage knowledge from one task to improve performance on another, highlighting its significance in model training.
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The way I'd explain it in an interview is this: Transfer learning is central to LLMs because the model first learns broad language patterns during pretraining and then transfers that knowledge to downstream tasks through prompting, fine-tuning, or lightweight adaptation. That is...
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