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Related Questions
- How does pre-training on a large corpus of text impact the ability of large language models to generalize to unseen words?
- Can pre-training on a diverse range of texts improve a language model's ability to handle out-of-vocabulary words?
- What are some potential challenges in using pre-training to improve out-of-vocabulary word handling in large language models?
- How does the size and diversity of the pre-training corpus affect a language model's ability to handle out-of-vocabulary words?
- Can pre-training on a large corpus of text help large language models learn to infer the meaning of out-of-vocabulary words?
- What role does contextualization play in improving a language model's ability to handle out-of-vocabulary words after pre-training?
- Are there any specific pre-training techniques or architectures that are particularly well-suited for improving out-of-vocabulary word handling in large language models?
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