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Related Questions
- How do language models integrate contextual understanding and common sense reasoning to generate more accurate and human-like responses?
- What are the key challenges in developing language models that possess both contextual understanding and common sense reasoning capabilities?
- Can you explain the difference between contextual understanding and common sense reasoning in language models, and how they contribute to overall performance?
- How do language models that excel in contextual understanding and common sense reasoning handle ambiguity and uncertainty in natural language inputs?
- What role does domain knowledge play in enhancing the contextual understanding and common sense reasoning abilities of language models?
- Can you discuss the trade-offs between increasing contextual understanding and common sense reasoning in language models, and how to balance these competing priorities?
- How do language models that possess strong contextual understanding and common sense reasoning capabilities perform in real-world applications, such as chatbots and virtual assistants?
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