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Related Questions
- What are the key differences between pre-training and fine-tuning a large language model?
- How does the size of a pre-trained language model impact its ability to capture language nuances?
- Can you explain the concept of 'language understanding' in the context of large language models?
- What role does domain adaptation play in improving a pre-trained language model's understanding of language nuances?
- How does the choice of pre-training objective (e.g. masked language modeling, next sentence prediction) affect a model's ability to understand language nuances?
- Can you discuss the impact of pre-training data quality on a large language model's ability to understand language nuances?
- What are some common challenges associated with fine-tuning a pre-trained language model for specific language nuances?
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