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Related Questions
- How does a taxonomy of tasks help in identifying related tasks and improving model adaptability?
- What are the key advantages of using a task taxonomy in machine learning model development?
- In what ways can a task taxonomy help to reduce the need for extensive retraining of models when adapting to new tasks?
- Can you explain the relationship between task similarity and model generalizability, and how a taxonomy of tasks can bridge this gap?
- How does a task taxonomy impact the efficiency of model development and deployment in real-world applications?
- What are the potential limitations of relying solely on a task taxonomy to determine task similarity and model generalizability?
- Can a task taxonomy be used to identify potential biases in model performance and improve fairness in decision-making?
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