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Related Questions
- What are some common issues that occur when fine-tuning large language models on domains with high levels of specialized jargon?
- How can jargon be explicitly defined and incorporated into a fine-tuning process?
- What role can data preprocessing play in making LLMs more tolerant of jargon-filled content?
- In what ways can inductive bias in LLMs affect performance on highly technical domains?
- What methods can be used to balance the fine-tuning of LLMs on general knowledge with specialization in specific domains?
- How do knowledge graph embeddings and multimodal learning influence the handling of specialized vocabulary in LLMs?
- What limitations exist in incorporating domain-specific knowledge graphs to improve fine-tuned model performance?
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