A Novel Spinor-Based Embedding Model for Transformers
6 months ago
- #Geometric Algebra
- #Transformers
- #Machine Learning
- Proposes a novel approach to word embeddings in Transformer models using spinors from geometric algebra.
- Spinors provide a mathematical framework for capturing complex relationships in high-dimensional spaces.
- Encoding words as spinors aims to enhance language representation expressiveness and robustness.
- Details theoretical foundations of spinors and their integration into Transformer architectures.
- Discusses potential advantages and challenges of the proposed approach.