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Related Questions
- What are some common pitfalls in training language models that can lead to inaccurate captures of human communication?
- How do you account for nuances in language, such as idioms, sarcasm, and figurative language, in language model development?
- What role does domain knowledge play in enabling language models to accurately understand and respond to human communication?
- Can you discuss the challenges of handling context-dependent language, such as references to previous conversations or shared knowledge?
- How do you balance the need for language models to be both flexible and accurate in their understanding of human communication?
- What are some strategies for mitigating the impact of bias in language models on their ability to accurately capture human communication?
- Can you explain the importance of evaluating language models on a variety of tasks and datasets to ensure their accuracy in capturing human communication?
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