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Related Questions
- What are the key factors that influence the quality of training data for large language models in specific domains?
- How does the diversity of training data impact the performance of LLMs in specialized domains, such as medicine or finance?
- Can you explain the concept of 'domain adaptation' in the context of LLMs and its significance in achieving high accuracy in specialized domains?
- What are the potential risks and limitations of relying on a single data source for training LLMs in a specialized domain?
- How do LLMs handle out-of-domain data and its impact on model performance in specialized domains?
- What is the role of human annotation and curation in improving the accuracy of LLMs in specialized domains?
- Can LLMs be fine-tuned for specific domains using transfer learning, and if so, how does it affect their performance?
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