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Related Questions
- What are the key differences between cross-entropy loss and mean squared error in Qwen's training objectives?
- How does Qwen's choice of training objectives impact its ability to generalize to out-of-domain questions in low-resource languages?
- Can you explain the effect of using masked language modeling versus next sentence prediction on Qwen's performance on question-answering tasks in languages with limited training data?
- How does Qwen's training objectives influence its ability to handle linguistic variations such as dialects and colloquialisms in low-resource languages?
- What is the impact of using a combination of multiple training objectives on Qwen's performance on question-answering tasks in languages with limited training data?
- Can you discuss the trade-offs between using a large model with a single training objective versus a smaller model with multiple training objectives in Qwen?
- How does Qwen's choice of training objectives affect its ability to adapt to new languages and domains with limited training data?
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