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Related Questions
- How do large language models handle homographs and polysemous words?
- What strategies can be employed to tackle the problem of out-of-vocabulary words in conversational AI systems?
- What is the role of context in disambiguating language in AI models, and how can it be effectively used for better performance?
- Can you explain the concept of semantic drift and how it affects language understanding in AI systems?
- What techniques can be used to handle idiomatic expressions and figurative language in AI models?
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- Can you discuss the role of linguistic annotation in improving the performance of AI models in handling ambiguous language?
- How can prompt engineering be used to mitigate the effects of linguistic uncertainty in AI systems?
- What are some strategies for evaluating the effectiveness of prompt engineering in addressing ambiguous language in AI models?
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