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Related Questions
- What is fine-tuning in the context of machine learning and how does it differ from other model adaptation techniques?
- How does fine-tuning improve model performance on specific tasks or domains?
- Can you provide examples of fine-tuning techniques and their applications in real-world scenarios?
- What are the key factors that affect the effectiveness of fine-tuning, such as dataset size and quality?
- How does fine-tuning impact the interpretability and explainability of machine learning models?
- What are the trade-offs between fine-tuning and other approaches, such as transfer learning or training from scratch?
- Can you discuss the role of fine-tuning in achieving domain adaptation and improving model generalizability?
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