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Related Questions
- What are the key benefits of using word embeddings in NLP tasks?
- How do word embeddings help to reduce the dimensionality of text data?
- Can you explain the difference between word2vec and GloVe in detail?
- How do word embeddings improve the performance of question answering models like BERT?
- What are some common applications of word embeddings in text classification tasks?
- How do word embeddings handle out-of-vocabulary words in NLP tasks?
- Can you describe the process of training word embeddings on a large corpus of text data?
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