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Related Questions
- Does the addition of task-specific objectives during pre-training improve the model's ability to adapt to new tasks in unseen domains?
- How does the choice of task-specific objectives affect the model's generalizability across different domains?
- Can the addition of task-specific objectives during pre-training lead to overfitting to the specific task or domain?
- What is the optimal balance between pre-training with general objectives and task-specific objectives for improving generalizability?
- How does the type of task-specific objective (e.g., supervised, reinforcement learning, etc.) impact the model's generalizability?
- Can the addition of task-specific objectives during pre-training improve the model's ability to transfer knowledge across domains with different data distributions?
- What is the relationship between the degree of task-specific objectives during pre-training and the model's generalizability to unseen domains?
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