GLM MoE DSA
term_id: glm_moe_dsa
Category: basic_concepts
Definition
There is no single standard term ‘GLM MoE DSA’. However, it likely combines GLM (a specific LLM architecture), MoE (Mixture of Experts, a technique to scale model size efficiently by activating only a subset of parameters), and DSA (which could refer to Dynamic Sparse Attention or Distributed System Architecture). Combining these, it would describe a large language model based on the GLM architecture that utilizes a Mixture of Experts mechanism for efficiency and potentially dynamic sparse attention for computational optimization.
Summary
This appears to be a conflation of distinct concepts: GLM (General Language Model), MoE (Mixture of Experts), and potentially DSA (Dynamic Sparse Attention or similar).
Key Concepts
- Mixture of Experts
- Sparse Attention
- Model Scaling
- Efficient Inference
Use Cases
- Scaling large language models
- Reducing inference cost
- High-performance NLP