Embedding Dimension
AI/ML Fundamentals
Size of vector representation for entities or tokens
What is Embedding Dimension?
Trade-off between expressiveness and memory/compute; common sizes: 50-1024 depending on application.
Real-World Examples
- •Word embeddings of size 300
Related Terms
Learn more about concepts related to Embedding Dimension