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Related Questions
- What are some common techniques used by prompt engineers to adapt pre-trained language models to new domains?
- How do prompt engineers use transfer learning to overcome the limitations of small training datasets in specific domains?
- Can you explain the concept of 'prompt engineering' and its role in fine-tuning pre-trained language models for domain-specific tasks?
- What are some best practices for prompt engineers to leverage transfer learning and create effective prompts for domain-specific tasks?
- How do prompt engineers use pre-trained language models as a starting point for fine-tuning and adapting to new domains?
- What are some common challenges that prompt engineers face when applying transfer learning to domain-specific tasks, and how do they overcome them?
- Can you provide examples of successful applications of transfer learning in prompt engineering for domain-specific tasks?
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