--- title: Multimodal Large Language Models & Apple’s MM1 | daily.dev description: This blog post discusses the architecture and findings of Apple's MM1 paper on Multimodal Large Language Models. It explores the abstraction of input for Large... canonical: https://daily.dev/posts/multimodal-large-language-models-apple-s-mm1-sy3sne0do twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Multimodal Large Language Models & Apple’s MM1 | daily.dev og:description: This blog post discusses the architecture and findings of Apple's MM1 paper on Multimodal Large Language Models. It explores the abstraction of input for Large... og:url: https://daily.dev/posts/multimodal-large-language-models-apple-s-mm1-sy3sne0do og:image: https://api.daily.dev/og/posts/Sy3SnE0do.png og:image:alt: Multimodal Large Language Models & Apple’s MM1 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. # Multimodal Large Language Models & Apple’s MM1 **[Towards Data Science](https://daily.dev/sources/tds)** · 6 min read · 0 upvotes · 0 comments ## Summary This blog post discusses the architecture and findings of Apple's MM1 paper on Multimodal Large Language Models. It explores the abstraction of input for Large Language Models, the image encoders, vision-language connectors, and the results of different ablations and pre-training data. The post highlights the impact of image resolution on performance and the potential applications of multi-modal LLMs. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#llm](https://daily.dev/tags/llm), [#multimodal](https://daily.dev/tags/multimodal) [View this post on daily.dev](https://daily.dev/posts/multimodal-large-language-models-apple-s-mm1-sy3sne0do) ```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":"Multimodal Large Language Models & Apple’s MM1","url":"https://daily.dev/posts/multimodal-large-language-models-apple-s-mm1-sy3sne0do","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/multimodal-large-language-models-apple-s-mm1-sy3sne0do"},"datePublished":"2024-04-13T08:54:07.754Z","dateModified":"2024-05-09T07:55:57.971Z","description":"This blog post discusses the architecture and findings of Apple's MM1 paper on Multimodal Large Language Models. It explores the abstraction of input for Large...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/8fd044a57dedbb1f94bc0e18d1ac610f?_a=AQAEufR","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/8fd044a57dedbb1f94bc0e18d1ac610f?_a=AQAEufR","isAccessibleForFree":true,"articleSection":"Towards Data Science","inLanguage":"en","publisher":{"@type":"Organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180}},"author":{"@type":"Organization","name":"Towards Data Science","logo":"https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/tds","url":"https://daily.dev/sources/tds"},"commentCount":0,"discussionUrl":"https://daily.dev/posts/multimodal-large-language-models-apple-s-mm1-sy3sne0do","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":0},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"llm,multimodal","timeRequired":"PT6M"} {"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Towards Data Science","item":"https://daily.dev/sources/tds"},{"@type":"ListItem","position":3,"name":"Multimodal Large Language Models & Apple’s MM1"}]} ```