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Related Questions
- How does the size of a pre-trained language model affect its ability to generate coherent and contextually relevant text?
- What are the trade-offs between increasing the size of a pre-trained model and its computational requirements and training time?
- Can you explain the relationship between model size and its ability to capture nuances of language, such as idioms and figurative language?
- How does the size of a pre-trained model impact its ability to generalize to unseen domains or tasks?
- What are some strategies for scaling up pre-trained models while maintaining their quality and efficiency?
- Can you discuss the relationship between model size and its ability to capture long-range dependencies in language?
- How does the size of a pre-trained model affect its ability to handle out-of-vocabulary words and rare language phenomena?
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