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Related Questions
- How do masked language modeling tasks help LLMs learn to generalize to out-of-vocabulary words?
- Can you explain the impact of next sentence prediction tasks on the understanding of sentence context and relationships?
- In what ways do masked language modeling and next sentence prediction tasks complement each other in improving LLM robustness?
- How do these tasks help LLMs handle linguistic variations such as idioms, colloquialisms, and figurative language?
- Can you discuss the role of masked language modeling in learning discrete and continuous embeddings for words and their representations?
- How do next sentence prediction tasks contribute to the development of contextual understanding and world knowledge in LLMs?
- What are the implications of using masked language modeling and next sentence prediction tasks for handling out-of-distribution examples in real-world applications?
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