Understanding LLM Mixture of Experts (MoE)
When you hear about the latest large language models (LLMs)—like GPT-4, Claude, or Gemini—it’s easy to feel overwhelmed by their sheer scale. These models contain billions, sometimes trillions, of parameters. This incredible size is what gives them their broad capabilities—from writing code and summarizing texts to answering complex questions and creating poetry. But that scale…
