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Related Questions
- How can large language models like Qwen be fine-tuned for domain-specific tasks in healthcare or finance?
- What modifications are needed to adapt Qwen's architecture for applications in healthcare, such as medical text classification or medical chatbots?
- How can the performance of Qwen be improved in financial domain-specific tasks, such as stock market prediction or financial news analysis?
- What are the benefits and challenges of adapting Qwen for a specific domain, and how can they be addressed?
- Can Qwen be used as a base model for building specialized domain-specific models, and how can this be achieved?
- What are the key factors to consider when adapting Qwen for a specific domain, such as data quality, training data size, and model architecture?
- How can the domain-specific knowledge and data be incorporated into Qwen's training process to improve its accuracy and relevance?
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