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Related Questions
- What are the primary objectives of masked language modeling and next sentence prediction tasks in the context of large language models?
- How do the evaluation metrics for masked language modeling and next sentence prediction tasks differ, and what are their implications for model development?
- In what ways do the objectives of masked language modeling and next sentence prediction tasks influence the architecture and training of large language models?
- What are some common evaluation metrics used for masked language modeling tasks, and how do they assess model performance?
- How do the evaluation metrics for next sentence prediction tasks reflect the task's objective of predicting the likelihood of a sentence following another sentence?
- What are some limitations of using masked language modeling and next sentence prediction tasks as evaluation metrics for large language models?
- Can you provide examples of how masked language modeling and next sentence prediction tasks are used in real-world applications and how their objectives and evaluation metrics are relevant in these contexts?
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