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Related Questions
- What are the key differences between pre-training and fine-tuning in LLMs, and how do they impact out-of-vocabulary word handling?
- Can you explain the concept of 'out-of-vocabulary' words and how it affects LLM performance?
- How can you incorporate subword modeling techniques to improve LLMs' ability to handle out-of-vocabulary words?
- What are some strategies for fine-tuning LLMs on a specific domain or task to enhance their handling of out-of-vocabulary words?
- Can you discuss the role of embedding spaces and their impact on out-of-vocabulary word handling in LLMs?
- How can you leverage domain adaptation techniques to improve LLMs' handling of out-of-vocabulary words in a specific domain?
- What are some common challenges associated with handling out-of-vocabulary words in LLMs, and how can they be addressed through pre-training and fine-tuning?
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