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Related Questions
- What factors contribute to a learner's ability to generalize across multiple tasks?
- How does model capacity influence the learner's capacity to adapt to new tasks?
- Can a learner with limited capacity learn to generalize across multiple tasks, or is it necessary to have a large capacity?
- How does the type of learning task (e.g., classification, regression) impact the relationship between model capacity and generalization?
- Are there any specific techniques or architectures that can help improve a learner's ability to generalize across multiple tasks?
- Can a learner's ability to generalize across multiple tasks be improved through additional training or fine-tuning?
- What are some common pitfalls or challenges that learners with high capacity may face when attempting to generalize across multiple tasks?
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