IBM Technology | What is Mixture of Experts? @IBMTechnology | Uploaded August 2024 | Updated October 2024, 1 day ago.
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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.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdK8fb
Want to play with the technology yourself? Explore our interactive demo → https://ibm.biz/BdK8fn
Learn more about the technology → https://ibm.biz/BdK8fe
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.
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdK8fb
