What is Mixture of Experts? Mixture of Experts (MoE) is a technique that uses many different sub-models (or “experts”) to improve the quality of LLMs. Two main components define a MoE: Experts – Each FFNN layer now has a set of “experts” of which a subset can be chosen. These “experts” are typically FFNNs themselves. Router or gate…
Mixture of Experts (MoE) is a machine learning technique where multiple specialized models (experts) work together, with a gating network selecting the best expert for each input. In the race to build ever-larger and more capable AI systems, a new architecture is gaining traction: Mixture of Experts (MoE). Unlike traditional models that activate every neuron…
The large language model (LLM) landscape is rapidly evolving, and two powerful contenders—DeepSeek and ChatGPT—are emerging as core engines in generative AI applications. While they both excel at generating human-like text, answering questions, and powering chatbots, they differ significantly in architecture, training objectives, inference capabilities, and deployment paradigms. Not long ago, I had my first…
