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Related Questions
- What are the key techniques for fine-tuning a pre-trained model on a specific task?
- Can you explain the concept of transfer learning and its applications in NLP?
- How does domain adaptation work, and how can it be used to adapt a pre-trained model to a new domain?
- What are the benefits and limitations of using pre-trained language models as a starting point for a downstream task?
- How can we use knowledge distillation to transfer knowledge from a large pre-trained model to a smaller model?
- What are some common challenges and pitfalls when using pre-trained models for downstream tasks, and how can we address them?
- Can you discuss the role of prompt engineering in leveraging pre-trained models for specific tasks and how it can improve performance?
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