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Related Questions
- What are the potential drawbacks of fine-tuning a large language model for a specific task on its ability to generalize to other tasks?
- How does the level of fine-tuning impact the generalizability of a large language model?
- Can you explain the concept of catastrophic forgetting in the context of fine-tuning large language models?
- What techniques can be used to mitigate the loss of generalizability when fine-tuning a large language model?
- How does the choice of pre-training task and dataset affect the generalizability of a large language model after fine-tuning?
- What is the relationship between fine-tuning and the model's ability to adapt to new tasks?
- Can fine-tuning a large language model for a specific task improve its performance on related tasks, and if so, why?
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