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Related Questions
- How does a text generation model's performance change when given a limited context versus a rich context?
- In what ways does the context of a conversation impact the accuracy of a text generation model's responses?
- Can you provide examples of how a text generation model's understanding of context affects its ability to generate coherent and relevant text?
- How does the context of a text generation model's training data impact its ability to generalize to new, unseen contexts?
- What are some common challenges that text generation models face when trying to understand context, and how can these challenges be addressed?
- Can you discuss the role of context in text generation models' ability to capture nuances of language, such as idioms and figurative language?
- How does the context of a text generation model's input data affect its ability to generate accurate and relevant text, particularly in cases where the input data is noisy or ambiguous?
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