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Related Questions
- What are the common challenges associated with fine-tuning a pre-trained model on a new domain?
- How does domain mismatch impact the model's ability to generalize to unseen data?
- What are some strategies for adapting a pre-trained model to a new domain, and what are their limitations?
- Can you explain the concept of 'domain drift' and how it affects model performance?
- How does the level of domain mismatch affect the model's accuracy, and are there any thresholds for when it becomes significant?
- What are some techniques for detecting domain mismatch and identifying the need for retraining or adaptation?
- Can you discuss the role of data quality and quantity in mitigating the effects of domain mismatch on model accuracy?
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