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Related Questions
- How does domain-specific training affect the model's performance on out-of-domain data?
- What are the implications of fine-tuning a model for a specific domain on its ability to adapt to new domains?
- Can a model trained on a specific domain generalize to related domains, and if so, to what extent?
- What are the trade-offs between model interpretability and generalizability when adapting a model to a specific domain?
- How does the choice of domain-specific training data impact the model's ability to generalize to other domains?
- What are some techniques for balancing domain-specific adaptation and generalizability in large language models?
- Can a model trained on a specific domain learn to recognize and generate text in multiple domains, or is this a zero-sum game?
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