Mixture-of-Experts (MoE)
Date of Addition
17 October 2025
A neural network architecture that divides computational layers into multiple specialized sub-networks (experts) with a gating mechanism that dynamically routes inputs to the most relevant experts, activating only a subset of the model's parameters for any given task. MoE enables models to scale to billions of parameters while maintaining computational efficiency by selectively engaging experts rather than activating the entire network, achieving faster pretraining and inference times compared to dense models of equivalent quality. Originally proposed in 1991 and recently implemented in leading LLMs like Mixtral 8x7B and reportedly GPT-4, MoE architectures address the fundamental tradeoff between model capacity and computational efficiency through task specialization. The gating network learns to assess input characteristics and calculate probability distributions determining which experts receive each token, with training optimizing both expert networks and routing mechanisms simultaneously.
Related Long-form Insights on IndoPacific.App
terms of use
This glossary of terms is provided as a free resource for educational and informational purposes only. By using this glossary developed by Indic Pacific Legal Research LLP (referred to as 'The Firm'), you agree to the following terms of use:
-
You may use the glossary for personal and non-commercial purposes only. If you use any content from the glossary of terms on this website in your own work, you must properly attribute the source. This means including a link to this website and citing the title of the glossary.
-
Here is a sample format to cite this glossary (we have used the OSCOLA citation format as an example):
Indic Pacific Legal Research LLP, 'TechinData.in Explainers' (Indic Pacific Legal Research, 2023) <URL of the Explainer Page>
-
You are not authorised to reproduce, distribute, or modify the glossary without the express written permission of a representative of Indic Pacific Legal Research.
-
The Firm makes no representations or warranties about the accuracy or completeness of the glossary. The glossary is provided on an "as is" basis and the Firm disclaims all liability for any errors or omissions in the glossary.
-
You agree to indemnify and hold the Firm harmless from any claims or damages arising out of your use of the glossary.
If you have any questions or concerns about these terms of use, please contact us at global@indicpacific.com