What are some examples of contextual embeddings in use?
Contextual embeddings are representations of words that consider the context in which they appear. Examples include BERT, ELMo, and GPT.
Can you explain how BERT uses contextual embeddings?
BERT uses a transformer architecture to generate embeddings based on the surrounding words, allowing it to understand nuances in meaning.
What are the advantages of using contextual embeddings over traditional embeddings?
Contextual embeddings capture word meanings based on context, improving understanding in tasks like sentiment analysis and translation.
Are there any specific applications of contextual embeddings in real-world scenarios?
Yes, they are used in search engines, chatbots, and recommendation systems to enhance user experience and accuracy.
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