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Related Questions
- What are the scenarios where a custom dataset is more beneficial than fine-tuning a pre-trained model?
- When does the cost of collecting and annotating a custom dataset become more cost-effective than fine-tuning a pre-trained model?
- Under what conditions would a custom dataset provide more accurate results than fine-tuning a pre-trained model?
- Can you give examples of domains where a custom dataset is essential for achieving high performance?
- How does the size and quality of the custom dataset impact the decision to fine-tune a pre-trained model?
- What are the trade-offs between the time and resources required to collect and annotate a custom dataset versus fine-tuning a pre-trained model?
- In what situations would a custom dataset be more suitable for handling domain-specific nuances and complexities?
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