



What factors influence the choice of embedding size?
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what is embedding size
- What are some strategies for choosing embedding size when dealing with data with a long-tailed distribution?
- Are there any techniques for reducing the size of the embedding matrix without significantly impacting performance?
- How does embedding size impact the representation of audio features?
- How does embedding size impact the ability to explain model predictions?
- Can a well-chosen embedding size improve the generalization performance of a model?
- Can different words in a vocabulary have different embedding sizes?
- What are typical embedding sizes used in multilingual models?
- How does embedding size relate to the field of topic modeling?
- How does embedding size affect training time?
- What are some architectures that use embeddings effectively for POS tagging?
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