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Related Questions
- What are the key techniques for fine-tuning pre-trained models on a new task with limited data?
- How can I leverage transfer learning to adapt a pre-trained model to a new task with minimal data?
- What are the common challenges when adapting pre-trained models to a new task with limited data, and how can I overcome them?
- Can you explain the concept of domain adaptation and how it can be used to adapt pre-trained models to a new task with minimal data?
- How can I select the most relevant pre-trained model for my new task, given the limited data available?
- What are some strategies for incorporating external knowledge or domain-specific information into a pre-trained model to improve its performance on a new task with minimal data?
- Can you discuss the role of prompt engineering in adapting pre-trained models to a new task with minimal data, and provide some examples of effective prompts?
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