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Related Questions
- What are some common evaluation metrics used to assess the performance of large language models in unseen domains?
- How can the perplexity metric be used to evaluate the performance of a language model in a new domain?
- What is the difference between held-out perplexity and in-domain perplexity, and how can they be used to guide domain adaptation?
- What are some popular benchmarks for evaluating the performance of large language models in unseen domains?
- How can the F1-score and ROUGE scores be used to evaluate the performance of a language model in a new domain?
- What is the concept of 'domain drift' and how can it affect the performance of a language model in an unseen domain?
- How can the use of few-shot learning and meta-learning be used to guide domain adaptation for large language models?
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