Dense Model

Definitions

1. A model in which most or all parameters are active for each forward pass, unlike sparse architectures such as mixture-of-experts where only subsets activate. Dense models are conceptually straightforward but can be more expensive per request at large sizes.

   In plain English: A model that uses most of its parameters on every inference step.

   Example: "They kept the first release on a dense model because operational simplicity mattered more than squeezing out maximum efficiency."

Related Terms

• AI Model Registry
• Attention Score
• Bidirectional Encoder
• Consistency Model
• Convolutional Neural Network
• Decoder
• Dense Layer
• Encoder
• AI Architecture
• AI Layer
• AI Stack
• AI System
• Context Extension
• Data Mixture
• Frontier Model
• Internal Representation
• Large Context Model
• Likelihood
• Memory Module
• Model Alignment
• Model Fingerprint
• Model Gateway
• Parameter Sharing
• Preference Model
• RAG Architecture
• Sparse Model
• Student Model