GenAI – Characteristics Of Vector Embeddings
Table Of Contents:
- What Is Vector Embedding ?
- Dense Representation.
- Fixed Dimensionality.
- Semantic Similarity Is Preserved.
- Capture Latent Features.
- Learned From Data.
- Domain Specific.
- Efficient For Computation.
- Compositionality.
- Continuous & Differentiable.
- Versatile Uses Across Domains.
(1) What Is Vector Embedding ?
(2) Dense Representation
(3) Fixed Dimensionality
(4) Semantic Similarity is Preserved
(5) Captures Latent Features
(6) Learned From Data
(7) Domain-Specific
(8) Efficient for Computation
(9) Compositionality
(10) Continuous and Differentiable
(11) Versatile Usage Across Domains
