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Related Questions
- What are the key differences between fine-tuning and adapting prompts in transfer learning?
- How can I leverage pre-trained language models to adapt to new domains with minimal training data?
- What are some best practices for selecting the right pre-trained model for transfer learning in prompt adaptation?
- Can you explain the concept of 'prompt engineering' in the context of transfer learning and how it applies to adapting to new topics?
- How do I balance the trade-off between adapting to new topics and preserving the knowledge learned from the original domain?
- What are some common challenges and pitfalls to avoid when adapting prompts for transfer learning, and how can I mitigate them?
- Can you provide examples of successful applications of transfer learning in prompt adaptation across different domains and topics?
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