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Related Questions
- What is the purpose of token masking in pre-training LLMs and how does it contribute to their ability to generalize?
- Can you explain how token masking helps LLMs learn to predict missing information and apply it to new, unseen data?
- How does the masking of tokens during pre-training enable LLMs to learn contextual relationships between words?
- What role does token masking play in reducing overfitting and improving the robustness of LLMs to unseen data?
- Can you discuss the impact of token masking on the learning of linguistic patterns and structures in LLMs?
- How does the type and frequency of token masking affect the generalization capabilities of LLMs?
- Can you elaborate on how LLMs use the masked tokens to learn about word meanings and context-dependent relationships?
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