Cognitive Computing in Business
Contextual embeddings are a type of representation for words or phrases that capture their meaning based on the surrounding context in which they appear. This approach differs from traditional embeddings that provide a static representation, allowing for more nuanced interpretations in tasks like machine translation and language generation. By understanding the relationships and influences of surrounding words, contextual embeddings enhance the ability of models to produce more accurate and contextually relevant outputs.
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