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Related Questions
- What are homographs and homophones, and how do they create challenges for language models?
- How do language models access external knowledge and world knowledge to improve their understanding of context?
- Can you explain the role of word embeddings and semantic similarity in disambiguating homographs and homophones?
- What techniques do language models use to incorporate external knowledge and world knowledge into their responses?
- How do language models handle cases where the external knowledge and world knowledge are inconsistent or outdated?
- What is the relationship between external knowledge and world knowledge and the concept of 'common sense' in language models?
- Can you discuss the trade-offs between using external knowledge and world knowledge versus relying on internal knowledge and learning from data?
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