How does NLP handle context in language?
An example of an AI chatbot conversation about how NLP manages context in language processing.
How does NLP handle context in language?
NLP uses various techniques like word embeddings and context windows to understand the meaning of words based on surrounding text.
Can you explain what word embeddings are?
Word embeddings are numerical representations of words that capture their meanings and relationships based on context.
How do these embeddings improve understanding of context?
They allow the model to recognize similar meanings and nuances, helping it to interpret sentences more accurately.
What role does machine learning play in this process?
Machine learning algorithms train on large datasets to learn patterns in language, enhancing the model's contextual understanding.
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