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Related Questions
- What role does the use of pre-training on large-scale datasets play in enabling LLMs to generalize to new tasks within a domain?
- How do LLMs leverage transfer learning to adapt to new tasks and domains with limited domain knowledge?
- Can you explain the concept of inductive bias in LLMs and its impact on generalization to new tasks?
- What is the relationship between LLMs' capacity for generalization and their ability to learn from few-shot examples?
- How do LLMs handle out-of-distribution data and adapt to new tasks without overfitting or underfitting?
- What is the significance of meta-learning in LLMs, and how does it contribute to generalization to new tasks?
- Can you discuss the role of attention mechanisms in enabling LLMs to focus on relevant information and generalize to new tasks?
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