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Related Questions
- What are the key differences between language models and domain-specific models in adapting to new domains or tasks?
- How does the ability of AI models to capture contextual nuances impact their ability to generalize to new tasks?
- What role does meta-learning play in enabling AI models to adapt to new domains or tasks?
- Can you explain the concept of domain adaptation in AI and how it relates to contextual understanding?
- How do AI models handle out-of-domain data when adapting to new tasks, and what techniques are used to mitigate this issue?
- What is the relationship between contextual understanding and the ability of AI models to learn from few-shot examples?
- Can you discuss the challenges of adapting AI models to new domains or tasks when the contextual understanding is limited or biased?
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