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Related Questions
- How do word embeddings help in reducing the dimensionality of high-dimensional word vectors in language models?
- Can you explain the concept of vector space models and how they relate to word embeddings in language models?
- In what ways do word embeddings contribute to the representation of contextual meaning in language models?
- How do pre-trained word embeddings affect the performance of downstream tasks in language models?
- What are the key differences between word embeddings and traditional word representations in language models?
- Can you discuss the impact of word embeddings on the interpretability of language models?
- How do word embeddings enable language models to capture nuances of language such as idiomatic expressions and figurative language?
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