Why is context important in NLP?
Context is crucial in NLP because it helps the model understand the meaning behind words based on their surrounding text.
Can you give me an example of how context changes meaning?
Sure! The word 'bank' can mean a financial institution or the side of a river, depending on the context in which it's used.
How does context improve machine learning models?
Context allows models to disambiguate meanings, leading to more accurate predictions and better understanding of user intent.
What are some challenges in incorporating context?
Challenges include understanding nuanced meanings, managing large context windows, and ensuring relevance in conversation.
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