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Related Questions
- What are the key design principles behind large language models that enable them to learn abstract concepts?
- How does the choice of activation functions and optimization algorithms impact the learning of abstract concepts in a model?
- Can you explain the role of hierarchical representations in facilitating the learning of abstract concepts in deep neural networks?
- What is the relationship between the capacity of a model and its ability to learn abstract concepts?
- How do attention mechanisms contribute to a model's ability to learn abstract concepts from sequential data?
- What are some common challenges in training models to learn abstract concepts, and how can they be addressed?
- Can you discuss the trade-off between the depth and width of a neural network in terms of its ability to learn abstract concepts?
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