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Related Questions
- Can taxonomies help to reduce the overfitting problem by providing a more structured and organized representation of the data?
- How can the use of taxonomies improve the generalizability of fine-tuned models across different subdomains within a specific domain?
- In what ways can taxonomies be used to regularize the learning process and prevent overfitting in fine-tuned models?
- Can taxonomies be used to identify and exclude irrelevant features that may contribute to overfitting in fine-tuned models?
- How can the hierarchical structure of taxonomies be leveraged to reduce overfitting by promoting more abstract and general representations of the data?
- Can taxonomies be used to transfer knowledge from one subdomain to another within a specific domain, reducing the need for extensive fine-tuning?
- In what ways can the use of taxonomies improve the interpretability of fine-tuned models and reduce overfitting by providing a more transparent representation of the model's decision-making process?
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