Data Science, Machine Learning, NLP, Word Embeddings, AI.
But more dimensions also means a higher demand for computational resources (processing speed, memory requirements) — this is more apparent during the training phase, but it does also affect inference speed. In practice, people use word embedding vectors with dimensions around 50 to 500 (you run