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Related Questions
- What are the common techniques used to fine-tune LLMs for domain-specific language?
- How does in-domain data augmentation impact the performance of LLMs in technical domains?
- Can you explain the concept of 'domain knowledge distillation' and its role in fine-tuning LLMs?
- What is the significance of 'out-of-vocabulary' (OOV) handling in LLMs for technical domains?
- How do LLMs handle nuances of language, such as idioms, colloquialisms, and figurative language, in technical domains?
- What are the challenges in fine-tuning LLMs for highly specialized domains, such as medicine or law?
- Can you discuss the trade-offs between fine-tuning LLMs on in-domain data versus using pre-trained models with domain-specific adapters?
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