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Fine-tuning adapts pre-trained LLMs to specific tasks with smaller datasets.
- True
- False
Answer: True
Fine-tuning updates pre-trained model weights on task-specific data, enabling adaptation to domains like healthcare, legal, or customer service with limited labeled examples. Critical for practical LLM deployment.