GLOSSARY TERM
What is Embedding Vector?
A dense representation of discrete variables in a continuous vector space.
Embedding vectors capture semantic relationships between entities, placing similar concepts closer together in the vector space. They are the foundational input mechanism for neural networks handling natural language, categorical data, and graphs.
Semantic Data Processing
Utilize high-dimensional embeddings seamlessly within the M1 infrastructure.