The Mixture of Experts (MoE) Model in AI: An Easy Tutorial with Python PyTorch Coding
Last Updated on November 5, 2023 by Editorial Team
Author(s): Shahriar Hossain
Originally published on Towards AI.
DALLΒ·E 3-generated image provided by the author. Of course, the spelling of βMixtureβ is incorrect.
In artificial intelligence, the Mixture of Experts (MoE) concept stands as a symbol of collaborative intelligence, exemplifying the saying βthe whole is greater than the sum of its parts.β The MoE model gathers the strengths of various expert models to deliver superior predictions. It is structured around a gating network and a collection of expert networks, each adept in different facets of a specific task.
I have put together a video where I explain the MoE concept through some friendly code snippets. I hope the video helps… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.
Published via Towards AI