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Related Questions
- What are the ideal dataset size and quality requirements for effective fine-tuning of large language models?
- How does the distribution of training data impact the performance of fine-tuned models?
- What are the key metrics to evaluate the quality of a fine-tuning dataset?
- Can you explain the concept of 'catastrophic forgetting' in fine-tuning and how to mitigate it?
- How does the choice of hyperparameters, such as learning rate and batch size, affect fine-tuning performance?
- What is the role of data augmentation in fine-tuning and how can it be effectively applied?
- How does the level of domain adaptation impact the effectiveness of fine-tuning?
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