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Related Questions
- What are some limitations of current language models in generating coherent and context-specific text?
- How do current language models handle nuances of human language, such as idioms, sarcasm, and figurative language?
- What are some strategies for improving the ability of language models to understand and generate text with varying levels of formality and tone?
- Can language models be trained to better capture the subtleties of human communication, such as implied meaning and underlying emotions?
- What role do context and background knowledge play in human-like text generation, and how can language models be improved in these areas?
- How do current language models handle ambiguity and uncertainty in language, and what improvements can be made in this area?
- What are some potential applications of improved language models, such as in creative writing, storytelling, or even generating dialogues for movies and TV shows?
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