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Related Questions
- Can you explain the concept of 'narrow AI' and how it relates to the dominance of domain-specific knowledge?
- How do you think experts in one domain might struggle to adapt to new, unfamiliar domains due to their specialized knowledge?
- What are some strategies that can be employed to promote the transferability of skills across different domains?
- Can you discuss the potential drawbacks of over-specialization in AI development and training?
- How can AI systems be designed to capture more generalizable knowledge and avoid being confined to a specific domain?
- What role does the quality and quantity of training data play in determining the transferability of skills in AI models?
- Can you elaborate on the concept of 'domain-knowledge fragmentation' and its implications for AI development?
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