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Related Questions
- What are the key differences between masked language modeling and next sentence prediction in the pre-training process of large language models?
- How does the size and diversity of the pre-training corpus impact the ability of a language model to capture general language patterns?
- Can you explain the concept of self-supervised learning in the context of pre-training large language models?
- How does the pre-training process enable a model to learn linguistic features such as syntax, semantics, and pragmatics?
- What role does the pre-training objective play in shaping the model's ability to capture general language patterns?
- How does the model's ability to learn from diverse text data enable it to generalize to unseen text and tasks?
- What are some potential limitations of relying on pre-training on a large corpus of text data to capture general language patterns?
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