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Related Questions
- What are the key techniques for domain adaptation in LLMs, and how do they address domain-specific jargon?
- How can we leverage in-domain data and out-of-domain data to fine-tune LLMs for specialized domains?
- What are the challenges of fine-tuning LLMs for domains with highly specialized jargon, and how can they be overcome?
- Can you explain the concept of 'domain knowledge distillation' and its application in fine-tuning LLMs?
- How can we use transfer learning and multi-task learning to adapt LLMs to new domains with specialized jargon?
- What are some strategies for handling out-of-vocabulary (OOV) words and domain-specific terminology in LLMs?
- Can you discuss the role of active learning and human-in-the-loop feedback in fine-tuning LLMs for specialized domains?
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