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Related Questions
- What are the key differences between a sliding window approach and traditional language model training methods?
- How can a sliding window approach help the model generalize to different language registers and tones?
- What are some potential challenges in implementing a sliding window approach for adaptability in language models?
- Can you explain how a sliding window approach can be used to handle out-of-vocabulary words or phrases?
- How does a sliding window approach compare to other methods for improving language model adaptability, such as multi-task learning or few-shot learning?
- What are some potential applications of a sliding window approach in natural language processing tasks, such as sentiment analysis or text classification?
- How can the size of the sliding window be optimized for a specific language model and task?
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