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Related Questions
- What are the key differences between masked language modeling and next sentence prediction objectives in pre-training a language model?
- How does the choice of pre-training objective impact the model's performance on downstream tasks such as question answering and text classification?
- Can you explain the concept of 'knowledge distillation' and how it relates to pre-training objectives?
- What is the effect of pre-training objectives on the model's ability to capture long-range dependencies in language?
- How does the choice of pre-training objective influence the model's ability to generalize to new, unseen data?
- Can you discuss the relationship between pre-training objectives and the model's ability to capture task-specific knowledge?
- What are some common pre-training objectives used in large language models and how do they contribute to the model's overall performance?
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