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Related Questions
- What is transfer learning and how does it apply to large language models?
- Can you explain how pre-training on a general domain allows LLMs to adapt to specific domains with limited knowledge?
- How does the pre-trained model's knowledge base and language understanding enable it to learn from limited domain knowledge?
- In what ways does transfer learning help LLMs generalize to new domains and adapt to new tasks?
- What are the key factors that influence the effectiveness of transfer learning for LLMs in adapting to limited domain knowledge?
- Can you provide examples of successful transfer learning applications in LLMs, such as image classification or sentiment analysis?
- How does fine-tuning a pre-trained model on a specific domain affect its performance and what are the trade-offs?
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