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Related Questions
- How do pre-training and fine-tuning affect the ability of transformer-based models to generate coherent and relevant explanations?
- What are the key differences between pre-training and fine-tuning in transformer-based models, and how do they impact explanation generation?
- Can you provide examples of how pre-training and fine-tuning affect the performance of transformer-based models in generating explanations?
- How do the hyperparameters of pre-training and fine-tuning influence the generation of explanations in transformer-based models?
- What are the limitations of using pre-training and fine-tuning for explanation generation in transformer-based models?
- How can I evaluate the quality of explanations generated by pre-trained and fine-tuned transformer-based models?
- What are some best practices for pre-training and fine-tuning transformer-based models for explanation generation?
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