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Related Questions
- What are the key differences between general-purpose and domain-specific NLP models?
- Under what circumstances would a general-purpose model be more effective in text classification tasks?
- How does the level of domain expertise impact the choice between general-purpose and domain-specific models?
- Can a general-purpose model be fine-tuned for a specific domain, and if so, how?
- What are the advantages and disadvantages of using a general-purpose model for text classification tasks?
- How does the complexity of the text classification task influence the choice between general-purpose and domain-specific models?
- Are there any scenarios where a domain-specific model is more suitable for text classification tasks, and if so, what are they?
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