Mixture-of-Experts

Inside MoE: 2.8T-Parameter Models Using Just 104B

A deep dive into Mixture-of-Experts architecture, where models boasting 2.8 trillion parameters activate only 104 billion per token. Here's how sparse activation is reshaping the economics and scalability of large AI systems.

LLM Architecture

MoE-LoRA Framework Advances Multi-Task LLM Specialization

New research combines Mixture-of-Experts with Low-Rank Adaptation to create specialized AI models that maintain generalist capabilities while excelling at domain-specific tasks.