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The Mixture of Experts (MoE) Model in AI: An Easy Tutorial with Python PyTorch Coding
Artificial Intelligence   Latest   Machine Learning

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.


DALL·E 3-generated image provided by the author. Of course, the spelling of “Mixture” is incorrect.

In artificial intelligence, the Mixture of Experts (MoE) concept stands as a symbol of collaborative intelligence, exemplifying the saying “the whole is greater than the sum of its parts.” 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.

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