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Related Questions
- What are the key factors that contribute to a language model's ability to adapt to new words or domains?
- How do language models handle out-of-vocabulary (OOV) words and what strategies can be employed to mitigate this issue?
- Can you explain the concept of domain adaptation in language models and how it is typically achieved?
- What role does transfer learning play in enabling language models to adapt to new domains or tasks?
- How do language models learn to generalize to new words or domains, and what are the key challenges in this process?
- What are some common techniques used to fine-tune language models for specific domains or tasks, such as domain adaptation or transfer learning?
- Can you discuss the importance of data quality and diversity in enabling language models to adapt to new domains or tasks?
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