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Related Questions
- What are the key considerations when designing effective prompts for transfer learning in NLP tasks?
- How does prompt engineering impact the performance of pre-trained language models in downstream tasks?
- What are some common techniques used to create task-specific prompts for transfer learning in NLP?
- Can you provide examples of successful applications of prompt engineering in transfer learning for NLP tasks?
- What are the challenges associated with scaling prompt engineering for large-scale NLP applications?
- How does prompt engineering relate to other techniques used in transfer learning, such as data augmentation and fine-tuning?
- What are some best practices for evaluating the effectiveness of prompt engineering in transfer learning for NLP tasks?
- How can prompt engineering be used to adapt pre-trained language models to new or emerging NLP tasks?
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