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Related Questions
- How does pre-training a language model with a large corpus of text data impact its ability to generalize to downstream tasks?
- What are the key differences between pre-training and fine-tuning a language model, and how do they contribute to its overall performance?
- Can you explain the concept of 'transfer learning' in the context of language models, and how pre-training and fine-tuning fit into this process?
- What are some common techniques used for fine-tuning a pre-trained language model, and how do they affect its performance on specific tasks?
- How does the choice of pre-training objective and fine-tuning objective impact the performance of a language model on a given task?
- Can you discuss the importance of hyperparameter tuning during fine-tuning, and how it affects the model's performance?
- What are some common challenges that arise when fine-tuning a pre-trained language model, and how can they be addressed?
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