{"id":644,"date":"2025-07-15T19:36:16","date_gmt":"2025-07-15T19:36:16","guid":{"rendered":"https:\/\/ccds.ai\/?p=644"},"modified":"2025-08-10T18:15:09","modified_gmt":"2025-08-10T18:15:09","slug":"integration-of-mixture-of-experts-in-the-large-multimodal-framework","status":"publish","type":"post","link":"https:\/\/ccds.ai\/?p=644","title":{"rendered":"Integration of Mixture-of-Experts in the Large Multimodal Framework"},"content":{"rendered":"<div id='av_section_1'  class='avia-section av-av_section-4626b8e4cec458b6915ec5d17cf7764f main_color avia-section-default avia-no-border-styling  avia-builder-el-0  avia-builder-el-no-sibling  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><main  role=\"main\" itemprop=\"mainContentOfPage\"  class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-644'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-md4xne1j-b62e2f48b8eb5e1a990cb7ace557444f\">\n.avia-image-container.av-md4xne1j-b62e2f48b8eb5e1a990cb7ace557444f img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-md4xne1j-b62e2f48b8eb5e1a990cb7ace557444f .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-md4xne1j-b62e2f48b8eb5e1a990cb7ace557444f av-styling- avia-align-center  avia-builder-el-1  el_before_av_textblock  avia-builder-el-first '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img fetchpriority=\"high\" fetchpriority=\"high\" decoding=\"async\" class='wp-image-645 avia-img-lazy-loading-not-645 avia_image ' src=\"https:\/\/ccds.ai\/wp-content\/uploads\/2025\/07\/unnamed.png\" alt='' title='unnamed'  height=\"247\" width=\"512\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/ccds.ai\/wp-content\/uploads\/2025\/07\/unnamed.png 512w, https:\/\/ccds.ai\/wp-content\/uploads\/2025\/07\/unnamed-300x145.png 300w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/><\/div><\/div><\/div>\n<section  class='av_textblock_section av-md4xejtc-668b4120d03dafa2a3f142be2c927216'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p>Our project, on Mixture-of-Experts (MoE) aims to enhance the performance of large multimodal vision-language models. Multimodal learning is a subfield of machine learning where models are trained to process and relate information from multiple input modalities, such as text, images, and audio. The MoE approach is a machine learning technique where a set of specialized models (the \u2018experts\u2019) are coordinated by a gating network that decides which expert to consult based on the input data. Our project is at the forefront of this field, seeking to incorporate the latest advances in multimodal MoE into the large multi-modal model frameworks. This integration is expected to significantly improve the efficiency, scalability and accuracy of large multi-modal models, opening up new possibilities for complex data analysis and prediction.<\/p>\n<p><b>Related publications:<\/b><\/p>\n<ol>\n<li><a href=\"https:\/\/web.archive.org\/web\/20241009232006\/https:\/\/arxiv.org\/abs\/2304.08485\" target=\"_blank\" rel=\"noopener\"><b>Visual Instruction Tuning<\/b><br \/>\n<\/a><i>Liu, H., Li, C., Wu, Q., &amp; Lee, Y. J. (2023). Visual Instruction Tuning. arXiv:2304.08485v2. Retrieved from https:\/\/doi.org\/10.48550\/arXiv.2304.08485<\/i><\/li>\n<li><a href=\"https:\/\/web.archive.org\/web\/20241009232006\/https:\/\/arxiv.org\/abs\/2401.04088\" target=\"_blank\" rel=\"noopener\"><b>Mixtral of Experts \u2013 Mistral<\/b><b><br \/>\n<\/b><\/a><i>Jiang, A. Q., Sablayrolles, A., Roux, A., Mensch, A., Savary, B., Bamford, C., &amp; El Sayed, W. (2024). Mixtral of Experts. arXiv preprint arXiv:2401.04088.<\/i><\/li>\n<li><a href=\"https:\/\/web.archive.org\/web\/20241009232006\/https:\/\/arxiv.org\/abs\/2401.15947\" target=\"_blank\" rel=\"noopener\"><b>MoE-LLaVA: Mixture of Experts for Large Vision-Language Models<\/b><\/a><br \/>\n<i>Lin, B., Tang, Z., Ye, Y., Cui, J., Zhu, B., Jin, P., Huang, J., Zhang, J., Ning, M., &amp; Yuan, L. (2024)1. MoE-LLaVA: Mixture of Experts for Large Vision-Language Models. arXiv:2401.15947v3. https:\/\/doi.org\/10.48550\/arXiv.2401.15947<\/i><\/li>\n<\/ol>\n<\/div><\/section>\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":645,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[88],"tags":[],"class_list":["post-644","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai_ml_projects"],"acf":[],"jetpack_featured_media_url":"https:\/\/ccds.ai\/wp-content\/uploads\/2025\/07\/unnamed.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/644","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=644"}],"version-history":[{"count":2,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/644\/revisions"}],"predecessor-version":[{"id":647,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/644\/revisions\/647"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/media\/645"}],"wp:attachment":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=644"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=644"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=644"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}