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Related Questions
- What are the implications of in-domain data for the performance of large language models in specific tasks?
- How does out-of-domain data affect the generalizability of large language models across different domains?
- What are the key characteristics of in-domain data that contribute to improved model performance in specific tasks?
- Can you explain the concept of domain shift and its impact on large language models?
- What are some strategies for incorporating out-of-domain data into large language model training to improve generalizability?
- How do in-domain and out-of-domain data interact with the concept of task-agnostic knowledge in large language models?
- What are the potential risks and limitations of relying solely on in-domain data for large language model training?
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