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Related Questions
- What are the key factors that contribute to the generalizability of a model across different tasks?
- How does the quality of the training data affect the generalizability of a model to new tasks?
- Can you explain the relationship between prompt engineering and the ability of a model to adapt to novel tasks?
- How do you ensure that a model's performance on one task does not negatively impact its performance on other tasks?
- What are some common pitfalls to avoid when designing prompts to improve a model's generalizability?
- Can you discuss the role of task-specific knowledge in the generalizability of a model to new tasks?
- How does the use of transfer learning and fine-tuning affect the generalizability of a model to unseen tasks?
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