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Related Questions
- What are the common techniques used to optimize word embeddings for large-scale applications?
- How do you handle vocabulary explosion in large corpora when using word embeddings?
- What is the impact of increasing the size of the training corpus on the quality of word embeddings?
- Can you explain the concept of dimensionality reduction in word embeddings and its application in large-scale NLP tasks?
- How do you handle out-of-vocabulary (OOV) words in large-scale language models that use word embeddings?
- What are the trade-offs between using pre-trained word embeddings and training custom embeddings from scratch for large corpora?
- How do you optimize the computational resources required for training large-scale word embeddings?
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