📕 subnode [[@KGBicheno/embedding_space]]
in 📚 node [[embedding_space]]
📓
garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Embedding_Space.md by @KGBicheno
embedding space
Go back to the [[AI Glossary]]
The d-dimensional vector space that features from a higher-dimensional vector space are mapped to. Ideally, the embedding space contains a structure that yields meaningful mathematical results; for example, in an ideal embedding space, addition and subtraction of embeddings can solve word analogy tasks.
The dot product of two embeddings is a measure of their similarity.
📖 stoas
- public document at doc.anagora.org/embedding_space
- video call at meet.jit.si/embedding_space