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Related Questions
- How can I fine-tune a pre-trained language model for a specific domain without sacrificing its ability to generalize to other domains?
- What are some techniques for integrating domain-specific knowledge into a large language model without overfitting to a particular ontology?
- Can you explain the concept of 'domain adaptation' in the context of language models and how it can be used to adapt to new domains?
- What are some common challenges in adapting large language models to domain-specific ontologies and how can they be addressed?
- How can I evaluate the effectiveness of a domain-adapted language model in a real-world setting?
- What is the role of transfer learning in adapting large language models to new domains and how does it differ from fine-tuning?
- Can you describe a case study or example of a successful domain adaptation of a large language model and the techniques used to achieve it?
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