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Related Questions
- What are the key factors that contribute to a language model's ability to generalize to unseen text data?
- How does the quality of the training dataset affect a language model's performance on out-of-distribution text data?
- What is the relationship between the size of the training dataset and the model's ability to capture nuances of language?
- Can a language model trained on a small dataset generalize to text data from a different domain or style?
- How does the diversity of the training dataset impact a language model's ability to adapt to new text data?
- What are some common pitfalls to avoid when evaluating a language model's generalization capabilities?
- How can researchers and practitioners measure the generalization performance of a language model on unseen text data?
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