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Related Questions
- How might domain-specific data affect a large language model's ability to generalize across domains?
- Can incorporating specialized knowledge into a model diminish its ability to understand related concepts outside of its original domain?
- To what extent does the specificity of data impact a large language model's capacity to generalize?
- Is it possible to strike a balance between domain-specific training and generalizability?
- How do model architects weigh the trade-offs between in-domain performance and cross-domain generalizability?
- Can multitask learning or few-shot learning strategies help mitigate the impact of domain-specific data on cross-domain generalizability?
- How do state-of-the-art large language models handle concept drift or domain shift when trained on domain-specific data?
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