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Related Questions
- What are some common techniques used in prompt engineering to adapt language models to non-standard alphabets?
- How do you address the issue of out-of-vocabulary words in non-standard alphabets when fine-tuning language models?
- Can you explain the concept of tokenization in the context of non-standard alphabets and how it affects language model performance?
- What are some strategies for handling diacritical marks and other special characters in non-standard alphabets when working with language models?
- How do you adapt language models to handle morphological complexities of non-standard alphabets?
- What techniques can be used to improve the robustness of language models to variations in non-standard alphabets?
- Can you discuss the challenges of handling tone and pitch in non-standard alphabets and how language models can be adapted to address these challenges?
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