Key Features of Sparse Mixture of Experts Layers

• Dynamic Expert Routing: Token-level selection of relevant experts
• Model Specialization: Experts focus on specific token patterns
• Computational Efficiency: Reduced compute by sparse activation
• Scalability: Supports very large models without cost explosion
• Transformer Integration: Seamless use within transformer architectures