Embedding Layer

Definitions

1. A neural network layer that maps discrete tokens or categories into dense vector representations that the rest of the model can process. Embedding layers are foundational in language models and recommendation systems.

   In plain English: The model layer that converts tokens or categories into vector representations.

   Example: "The paper analyzed how the embedding layer organized related terms before attention mixed them with context."

Related Terms

• AI Vector
• Embedding Dimension
• Frozen Embedding
• Neural Compression
• Neural Network Pruning
• Neural Search
• RAG Embedding
• Token Embedding