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Related Questions
- What are the advantages of using pre-trained word embeddings over randomly initialized word embeddings?
- How does pre-training improve the quality of word embeddings compared to other methods?
- What are the benefits of using pre-trained word embeddings in natural language processing tasks?
- Can you explain the difference between pre-trained word embeddings and word embeddings learned from scratch?
- How does pre-training help to capture semantic relationships between words?
- What are the trade-offs between pre-training and fine-tuning word embeddings for specific tasks?
- Can you discuss the impact of pre-training on the performance of downstream NLP tasks such as sentiment analysis and question answering?
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