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Related Questions
- What is transfer learning and how does it contribute to the balance between domain specificity and generalizability in LLMs?
- How does pre-training on a large corpus of text enable LLMs to capture generalizable representations?
- What role do fine-tuning and adaptation play in adapting pre-trained models to specific domains?
- How do prompt engineers leverage transfer learning to create more effective prompts for domain-specific tasks?
- What are some common challenges associated with transfer learning in LLMs, and how can they be addressed?
- Can you provide examples of successful applications of transfer learning in LLMs for specific domains?
- How does the choice of pre-training corpus and fine-tuning task impact the generalizability of LLMs?
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