• Mixture of experts (MoE) is a machine learning technique where multiple expert networks (learners) are used to divide a problem space into homogeneous...
    33 KB (4,612 words) - 15:43, 26 July 2024
  • 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...
    137 KB (12,350 words) - 15:36, 19 August 2024
  • pioneering integration of the Mixture of Experts (MoE) technique with the Mamba architecture, enhancing the efficiency and scalability of State Space Models...
    12 KB (1,206 words) - 16:10, 31 July 2024
  • Mixtral 8x7B uses a sparse mixture of experts architecture. The model has 8 distinct groups of "experts", giving the model a total of 46.7B usable parameters...
    20 KB (2,017 words) - 14:06, 5 August 2024
  • billion parameter model trained using a mixture-of-experts (MoE) technique with 12B active parameters (number of parameters active per token). Jamba can...
    4 KB (315 words) - 18:57, 1 July 2024
  • Thumbnail for Gemini (language model)
    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...
    44 KB (3,466 words) - 04:44, 19 August 2024
  • arises with the use of sparse models, such as mixture-of-expert models. In sparse models, during every inference, only a fraction of the parameters are...
    31 KB (4,496 words) - 22:46, 11 August 2024
  • 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...
    12 KB (1,148 words) - 21:15, 21 August 2024
  • Thumbnail for Databricks
    Databricks (category Software companies of the United States)
    relies on 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...
    25 KB (2,115 words) - 06:12, 10 August 2024
  • 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...
    4 KB (308 words) - 01:35, 20 April 2024