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Related Questions
- What are the benefits of pre-training a language model in improving its machine translation capabilities?
- Can you explain the role of fine-tuning in adjusting the pre-trained language model for specific translation tasks?
- How do the architecture and training parameters of pre-training affect the language model's ability to handle translation tasks?
- What are the primary factors that influence the trade-off between pre-training and fine-tuning in language model training?
- In what ways do fine-tuning and pre-training intersect to improve the quality and consistency of machine-translated text?
- How does the concept of task-agnostic and task-specific fine-tuning affect the language model's learning ability and adaptability for different translation tasks?
- Can you elaborate on the strategies for incorporating back-translation and cross-validation to evaluate and refine fine-tuning for better accuracy?
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