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Related Questions
- What are the key challenges in adapting large language models to out-of-domain data?
- How can few-shot learning be applied to improve the generalizability of large language models?
- What are some effective techniques for fine-tuning large language models on small datasets?
- Can few-shot learning help mitigate the overfitting problem in large language models?
- How does few-shot learning impact the performance of large language models on low-resource languages?
- What are some common evaluation metrics used to measure the robustness of large language models to out-of-domain data?
- Can few-shot learning be used to adapt large language models to new domains with limited labeled data?
- How does the choice of few-shot learning method affect the performance of large language models on out-of-domain data?
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