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Related Questions
- How does domain-specific knowledge influence the performance of large language models in adapting to new tasks and domains?
- In what ways do large language models leverage transfer learning to overcome domain-specific knowledge gaps and improve generalizability?
- Can you elaborate on the relationship between domain-specific knowledge and the ability of large language models to generalize across different domains?
- What are some common challenges associated with domain-specific knowledge gaps in large language models, and how can they be addressed through transfer learning?
- How does the concept of transfer learning enable large language models to learn from one domain and apply that knowledge to another?
- What are some best practices for incorporating domain-specific knowledge into large language models to improve their performance and generalizability?
- Can you discuss the role of pre-training and fine-tuning in leveraging domain-specific knowledge for transfer learning in large language models?
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