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Related Questions
- What are the key differences between masked language modeling and next sentence prediction tasks in pre-training LLMs?
- How do masked language modeling and next sentence prediction tasks contribute to the robustness of LLMs in handling linguistic variations and out-of-distribution examples?
- Can you explain the role of masked language modeling in helping LLMs learn contextual representations of words and phrases?
- How do next sentence prediction tasks enable LLMs to capture long-range dependencies and relationships between sentences?
- How do the two tasks complement each other in enabling LLMs to learn from diverse linguistic resources?
- What are some challenges in adapting LLMs to evolving language use, and how can the combination of masked language modeling and next sentence prediction tasks help address these challenges?
- Can you discuss the implications of pre-training LLMs with masked language modeling and next sentence prediction tasks for their performance on downstream NLP tasks?
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