Mixture of experts (MoE) is a machine learning technique where multiple expert networks (learners) are used to divide a problem space into homogeneous...

Xingkai (11 January 2024), DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models, arXiv:2401.06066 Shao, Zhihong; Wang...

expensive to train and use directly. For such models, mixture of experts (MoE) can be applied, a line of research pursued by Google researchers since 2017...

pioneering integration of the Mixture of Experts (MoE) technique with the Mamba architecture, enhancing the efficiency and scalability of State Space Models...

Rasley, Jeff; He, Yuxiong (2022-07-21), DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI Scale, arXiv:2201...

Retrieved 22 January 2024. "Mixtral of experts". mistral.ai. 11 December 2023. Retrieved 4 January 2024. "Mixture of Experts Explained". huggingface.co. Retrieved...

Jeff (2017). Outrageously large neural networks: The sparsely-gated mixture-of-experts layer. arXiv:1701.06538. Lin, Bin; Tang, Zhenyu; Ye, Yang; Cui, Jiaxi;...

Llama-4 series was released in 2025. The architecture was changed to a mixture of experts. They are multimodal (text and image input, text output) and multilingual...

(19 June 2024), DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model, arXiv:2405.04434. Leviathan, Yaniv; Kalman, Matan;...

architecture, a mixture-of-experts approach, and a larger one-million-token context window, which equates to roughly an hour of silent video, 11 hours of audio...

Siddharth, N.; Paige, Brooks; Torr, Philip HS (2019). "Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models". arXiv:1911.03393...

"compete with the United States". Notably, the type of architecture used for Wu Dao 2.0 is a mixture-of-experts (MoE) model, unlike GPT-3, which is a "dense"...

learning restricted Boltzmann machines. Mixture of experts Boltzmann machine Hinton, G.E. (1999). "Products of experts". 9th International Conference on Artificial...

2024. It is a mixture-of-experts transformer model, with 132 billion parameters in total. 36 billion parameters (4 out of 16 experts) are active for...

structural time series (BSTS) Mixture of experts Opitz, D.; Maclin, R. (1999). "Popular ensemble methods: An empirical study". Journal of Artificial Intelligence...

of control allows for more accurate and nuanced storytelling. On 17 April 2024, MiniMax officially launched the ABAB 6.5 series, a mixture of experts...

It has a mixture-of-experts architecture and is built on the MegaBlocks open-source project. DBRX cost $10 million to create. At the time of launch, it...

size is simply the number of parameters. However, one complication arises with the use of sparse models, such as mixture-of-expert models. With sparse models...

large language model built on a hybrid Mamba SSM transformer using mixture of experts with context lengths up to 256,000 tokens. In September 2024, AI21...

Transformer (2021): a mixture-of-experts variant of T5, by replacing the feedforward layers in the encoder and decoder blocks with mixture of expert feedforward...

Mixture of experts (MoE), a machine learning technique Molecular Operating Environment, a software system sold by Chemical Computing Group Margin of error...

achieved due to usage of new technologies such as "FlashMask" dynamic attention masking, heterogeneous multimodal mixture-of-experts, spatiotemporal representation...

kinds of dynamic structures: Mixture of experts In mixture of experts, the individual responses of the experts are non-linearly combined by means of a single...

Bootstrap aggregating ("bagging") Ensemble averaging Mixture of experts, hierarchical mixture of experts Bayesian networks Markov random fields Unsupervised:...

racemic mixture or racemate (/reɪˈsiːmeɪt, rə-, ˈræsɪmeɪt/) is a mixture that has equal amounts (50:50) of left- and right-handed enantiomers of a chiral...

mechanisms (Reformer, Longformer, BigBird), sparse attention patterns, Mixture of Experts (MoE) approaches, and retrieval-augmented models. Researchers are...

of probabilistic numerics. Gaussian processes can also be used in the context of mixture of experts models, for example. The underlying rationale of such...

A slurry is a mixture of denser solids suspended in liquid, usually water. The most common use of slurry is as a means of transporting solids or separating...

denoising diffusion model, with a Transformer replacing the U-Net. Mixture of experts-Transformer can also be applied. DDPM can be used to model general...

based on the mixture of factor analyzers model, and the HDclassif method, based on the idea of subspace clustering. The mixture-of-experts framework extends...