Rethinking AI Efficiency: Unleashing the Chain-of-Experts for Scalable, Cost-Effective Innovation

Rethinking MoE Architectures: Embracing the Chain-of-Experts Approach Large language models have long relied on traditional Mixture-of-Experts (MoE) architectures that activate only a handful of experts per token. While this approach limits computation at each step, it often results in isolated processing and high memory usage. In the ever-evolving realm of artificial intelligence and machine learning, […]