What are some examples of contextual embedding in AI?

What are some examples of contextual embedding in AI?

Contextual embedding refers to techniques that capture the meaning of words based on their context. Examples include BERT and ELMo.

How does BERT improve upon traditional word embeddings?

BERT uses a transformer architecture to understand the context of words in a sentence, allowing it to capture nuances better than traditional embeddings.

Can you explain how ELMo works?

ELMo generates embeddings by considering the entire context of a word in a sentence, using a bidirectional LSTM to capture both left and right context.

What are the applications of these embeddings?

Applications include sentiment analysis, machine translation, and question answering, where understanding context is crucial.