--- title: Google DeepMind Presents Mixture-of-Depths: Optimizing... description: Mixture-of-Depths (MoD) is a groundbreaking method introduced by researchers from Google DeepMind, McGill University, and Mila. It empowers transformer models... canonical: https://daily.dev/posts/google-deepmind-presents-mixture-of-depths-optimizing-transformer-models-for-dynamic-resource-alloc-osqjf2kpi twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Google DeepMind Presents Mixture-of-Depths: Optimizing Transformer Models for Dynamic Resource Allocation and Enhanced Computational Sustainability | daily.dev og:description: Mixture-of-Depths (MoD) is a groundbreaking method introduced by researchers from Google DeepMind, McGill University, and Mila. It empowers transformer models... og:url: https://daily.dev/posts/google-deepmind-presents-mixture-of-depths-optimizing-transformer-models-for-dynamic-resource-alloc-osqjf2kpi og:image: https://api.daily.dev/og/posts/OsqJF2kPI.png og:image:alt: Google DeepMind Presents Mixture-of-Depths: Optimizing Transformer Models for Dynamic Resource Allocation and Enhanced Computational Sustainability og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # Google DeepMind Presents Mixture-of-Depths: Optimizing Transformer Models for Dynamic Resource Allocation and Enhanced Computational Sustainability **[Machine Learning News](https://daily.dev/sources/mlnews)** · 4 min read · 0 upvotes · 0 comments ## Summary Mixture-of-Depths (MoD) is a groundbreaking method introduced by researchers from Google DeepMind, McGill University, and Mila. It empowers transformer models to dynamically allocate computational resources, focusing on the most critical parts of the input sequence. MoD-equipped models can achieve similar performance levels as conventional transformers but with significantly reduced computational loads. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#google-deepmind](https://daily.dev/tags/google-deepmind) [View this post on daily.dev](https://daily.dev/posts/google-deepmind-presents-mixture-of-depths-optimizing-transformer-models-for-dynamic-resource-alloc-osqjf2kpi) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"Google DeepMind Presents Mixture-of-Depths: Optimizing Transformer Models for Dynamic Resource Allocation and Enhanced Computational Sustainability","url":"https://daily.dev/posts/google-deepmind-presents-mixture-of-depths-optimizing-transformer-models-for-dynamic-resource-alloc-osqjf2kpi","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/google-deepmind-presents-mixture-of-depths-optimizing-transformer-models-for-dynamic-resource-alloc-osqjf2kpi"},"datePublished":"2024-04-06T11:04:10.335Z","dateModified":"2024-05-09T09:21:59.549Z","description":"Mixture-of-Depths (MoD) is a groundbreaking method introduced by researchers from Google DeepMind, McGill University, and Mila. 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