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Related Questions
- What are some techniques for incorporating contextual understanding into language model training data?
- How can language models be trained to recognize and interpret implicit context, such as implied relationships or underlying assumptions?
- What role does entity recognition play in improving a language model's understanding of explicit context?
- Can you explain the difference between contextual understanding and common sense reasoning, and how they relate to language model training?
- How can language models be trained to better handle out-of-domain or unexpected context?
- What are some best practices for creating training data that effectively captures both explicit and implicit context?
- How can language models be evaluated to assess their ability to understand context, and what metrics can be used to measure their performance?
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