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Related Questions
- What are the key differences between contextualized embeddings and other techniques for improving text generation models?
- How do contextualized embeddings, attention mechanisms, and pre-training interact with each other in a text generation model?
- Can you provide examples of how contextualized embeddings have been used in conjunction with attention mechanisms and pre-training?
- What are the advantages and disadvantages of using contextualized embeddings versus attention mechanisms and pre-training?
- How do contextualized embeddings handle out-of-vocabulary words and rare entities?
- Can contextualized embeddings be used in combination with other techniques, such as language models and transformer architectures?
- How do contextualized embeddings compare to other types of word embeddings, such as word2vec and glove?
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