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Related Questions
- What are the key differences between in-domain and out-of-domain training in large language models?
- How does in-domain training improve the performance of language models in specific tasks such as text classification and sentiment analysis?
- Can you provide examples of in-domain training data and how it is collected?
- What is the impact of in-domain training on the generalization capabilities of large language models?
- How does in-domain training affect the ability of language models to handle out-of-vocabulary words and unknown entities?
- What are the challenges and limitations of in-domain training, and how can they be addressed?
- Can in-domain training be used to improve the performance of language models in low-resource languages or domains?
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