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Related Questions
- What are the key factors that influence a language model's ability to learn and adapt to new words and concepts?
- How do language models update their knowledge and vocabulary over time, and what are the challenges associated with this process?
- Can you explain the role of active learning and human feedback in helping language models adapt to new words and concepts?
- What are some common techniques used to fine-tune language models on new data and how do they impact model performance?
- How do language models handle out-of-vocabulary words and concepts, and what strategies are used to mitigate this issue?
- Can you discuss the trade-offs between model capacity, training data size, and adaptation speed in language models?
- What are some emerging trends and research directions in language model adaptation, such as few-shot learning and meta-learning?
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