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What role does transfer learning play in LLMs?

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Answer

Transfer learning plays a crucial role in LLMs by allowing them to leverage knowledge gained from one task to improve performance on another related task. In the context of LLMs, this typically involves pre-training a model on a large corpus of text to learn general language patterns and then fine-tuning it on a smaller, task-specific dataset. This approach not only reduces the amount of data and computational resources needed for training but also enhances the model's ability to generalize and perform well on various language tasks, making it a powerful technique in natural language processing.

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