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Related Questions
- How do LLMs handle word embeddings for rare or unseen words?
- Can LLMs adapt to new words or concepts that are not present in their training data?
- How do LLMs determine the similarity between words that have no co-occurrence in the training data?
- What techniques do LLMs use to handle out-of-vocabulary words in natural language processing tasks?
- How do LLMs generate word embeddings for words that are not in their vocabulary?
- What is the impact of out-of-vocabulary words on the performance of LLMs in text similarity tasks?
- Can LLMs be trained to learn new words and concepts from user feedback or online data?
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