What is Mixture of Experts?

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In this video, Master Inventor Martin Keen explains the concept of Mixture of Experts (MoE), a machine learning approach that divides an AI model into separate subnetworks or experts, each focusing on a subset of the input data. Martin discusses the architecture, advantages, and challenges of MoE, including sparse layers, routing, and load balancing.
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[@vicaya]

Looks like people are thoroughly confused by your explanation. You need to address the vast difference between mixture of experts (a model architecture, where routing happens per token/layer) and mixture of agents (a deployment architecture, where routing happens per query), which most people here seem to assume.

[@evgenii.panaite]

btw you are fully right, i only now have understood this difference.
tbh He gave a little example by "raining cats and dogs"

[@jimklerkx5092]

Thanks for the video! Great content!

[@kingkura]

Actually did good this one.👍🏾

[@ltgwgeorge2155]

Thanks for the presentation; Can custom GPTs also be customised under this category

[@thealwayssmileguy9060]

Question:
So mixture of agents is a bit the same as AI agents? Like you have ai agent researcher, writer etc with than also a CEO agents that chooses which agents to use

[@AravindMU]

Nice ❤ video presentation

[@kayceefree_kazola]

This video where u write through the screen is called what and how to make such video pls enlightened

[@Aj.MetaMind]

Sir, Can you provide a roadmap to become a ML engineer please. there are many roadmaps, but can't trust them ☹😩

[@gunnerandersen4634]

API Gateaway for ML kind of.

[@sk3ffingtonai]

👏👏

[@jimklerkx5092]

New editor? I dont need the zoom lol