What is the difference between contextual and static embeddings?
An example of an AI chatbot conversation about contextual vs static embeddings in AI.
What is the difference between contextual and static embeddings?
Contextual embeddings are dynamic and change based on the context of the words in a sentence, while static embeddings remain fixed.
Can you give me an example of each?
Sure! Word2Vec is a static embedding, while BERT provides contextual embeddings that vary with sentence structure.
Why are contextual embeddings considered better?
Contextual embeddings capture nuances and relationships in language better, improving understanding in complex tasks.
Are there any downsides to using contextual embeddings?
Yes, they can be computationally intensive and require more resources compared to static embeddings.
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