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Related Questions
- What is the concept of domain adaptation in the context of large language models (LLMs)?
- How do LLMs update their internal representations and parameters during fine-tuning to adapt to a specific domain or task?
- What is the role of task-specific data in facilitating domain adaptation in LLMs during fine-tuning?
- What are some common techniques used to adapt LLMs to new domains, and how do they address the challenges of domain shift?
- How do LLMs handle out-of-vocabulary (OOV) words and rare words during fine-tuning, and what impact does this have on domain adaptation?
- What is the relationship between domain adaptation and task-specific objectives in LLM fine-tuning, and how do they interact?
- Can you explain the concept of pre-training and fine-tuning in the context of LLMs, and how they relate to domain adaptation?
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