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Related Questions
- How do pre-trained language models handle out-of-vocabulary words when encountering domain-specific terminology?
- What are some common techniques for fine-tuning pre-trained models on domain-specific datasets?
- Can you explain the concept of 'domain adaptation' in the context of pre-trained models and how it relates to incorporating domain-specific knowledge?
- How can I leverage pre-trained models to incorporate domain-specific knowledge from unstructured data sources, such as text documents or web pages?
- What are some best practices for selecting the right pre-trained model for a specific domain and incorporating relevant domain-specific knowledge?
- How can I use transfer learning to adapt a pre-trained model to a new domain and incorporate relevant knowledge from that domain?
- What are some common challenges associated with incorporating domain-specific knowledge into pre-trained models, and how can they be addressed?
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