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Related Questions
- How does the pre-trained model's capacity for representation learning enable it to generalize to new domains?
- Can you explain the concept of domain-specific knowledge and how it is retained in pre-trained models?
- In what ways does the pre-trained model's capacity for representation learning facilitate the acquisition of domain-specific knowledge?
- What are some common challenges in retaining domain-specific knowledge in pre-trained models, and how can they be addressed?
- How does the pre-trained model's capacity for representation learning impact its ability to adapt to new domains and tasks?
- What role does the pre-trained model's capacity for representation learning play in capturing nuanced relationships between concepts?
- Can you discuss the trade-offs between the pre-trained model's capacity for representation learning and its ability to retain domain-specific knowledge?
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