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Related Questions
- How can contextual information help handle out-of-vocabulary words in LLM prompts?
- What techniques can be used to provide context for out-of-vocabulary words in LLM prompts?
- Can you give an example of how to use contextual information to handle out-of-vocabulary words in a prompt?
- How does contextual information impact the performance of LLM models when encountering out-of-vocabulary words?
- What are some common challenges associated with handling out-of-vocabulary words in LLM prompts?
- How can you use pre-training and fine-tuning to improve the handling of out-of-vocabulary words in LLM models?
- What is the difference between handling out-of-vocabulary words in LLM prompts and using word embeddings to represent unknown words?
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