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Related Questions
- How does the number of parameters in a large language model impact its fine-tuning process?
- What are the implications of model size on the risk of overfitting during fine-tuning?
- Can smaller models be fine-tuned more efficiently than larger models due to fewer parameters?
- How does the number of parameters affect the computational resources required for fine-tuning?
- Do larger models require more data for effective fine-tuning due to their increased number of parameters?
- How does the number of parameters impact the interpretability of model predictions during fine-tuning?
- Can the number of parameters be used as a metric to predict the performance of a model during fine-tuning?
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