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Related Questions
- What are the key considerations when selecting a dataset for fine-tuning a large language model for domain-specific language?
- How can active learning methods be used to improve the performance of a large language model on specialized terminology?
- What are the benefits and challenges of using transfer learning for fine-tuning a large language model on a new domain?
- How can domain-specific knowledge graphs be integrated into a large language model to improve its performance on specialized terminology?
- What is the impact of overfitting on a large language model when fine-tuning on a small dataset for domain-specific language?
- Can you explain the concept of 'domain adaptation' in the context of fine-tuning large language models, and how it can be applied?
- How can large language models be evaluated on their ability to understand and generate domain-specific language, and what metrics can be used to measure this?
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