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Related Questions
- Can you explain the concept of task similarity in prompt engineering and how it can be applied to reduce training examples for a model?
- How can prompt engineers identify and leverage task similarity to minimize the number of training examples required for a model?
- What are some strategies that prompt engineers can use to exploit task similarity and reduce the need for extensive training data?
- Can you provide examples of tasks that are similar in nature and how prompt engineers can use this similarity to reduce training examples?
- How does task similarity impact the performance of a model, and what are the benefits of using it to reduce training examples?
- Can you discuss the challenges of identifying task similarity and how prompt engineers can overcome them to effectively reduce training examples?
- What role does task similarity play in transfer learning, and how can prompt engineers use it to adapt a pre-trained model to a new task with minimal training data?
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