--- title: Phi-3 and the Beginning of Highly Performant iPhone LLMs description: The Phi-3 paper introduces highly performant iPhone LLMs, with different models and training techniques, such as data optimization and post-training... canonical: https://daily.dev/posts/phi-3-and-the-beginning-of-highly-performant-iphone-llms-sjcyvnimp twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: Phi-3 and the Beginning of Highly Performant iPhone LLMs | daily.dev og:description: The Phi-3 paper introduces highly performant iPhone LLMs, with different models and training techniques, such as data optimization and post-training... og:url: https://daily.dev/posts/phi-3-and-the-beginning-of-highly-performant-iphone-llms-sjcyvnimp og:image: https://api.daily.dev/og/posts/SjcyVNImP.png og:image:alt: Phi-3 and the Beginning of Highly Performant iPhone LLMs 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. # Phi-3 and the Beginning of Highly Performant iPhone LLMs **[Towards Data Science](https://daily.dev/sources/tds)** · 7 min read · 2 upvotes · 0 comments ## Summary The Phi-3 paper introduces highly performant iPhone LLMs, with different models and training techniques, such as data optimization and post-training fine-tuning. Pairing Phi-3 with a search engine can enhance its performance on tasks requiring wide scopes of knowledge. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: --- Tags: [#deep-learning](https://daily.dev/tags/deep-learning), [#iphone](https://daily.dev/tags/iphone) [View this post on daily.dev](https://daily.dev/posts/phi-3-and-the-beginning-of-highly-performant-iphone-llms-sjcyvnimp) ```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":"Phi-3 and the Beginning of Highly Performant iPhone LLMs","url":"https://daily.dev/posts/phi-3-and-the-beginning-of-highly-performant-iphone-llms-sjcyvnimp","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/phi-3-and-the-beginning-of-highly-performant-iphone-llms-sjcyvnimp"},"datePublished":"2024-05-12T01:54:12.880Z","dateModified":"2024-05-12T01:54:11.431Z","description":"The Phi-3 paper introduces highly performant iPhone LLMs, with different models and training techniques, such as data optimization and post-training...","image":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/86c900c533550b4da96070046b887d8d?_a=AQAEuiZ","thumbnailUrl":"https://media.daily.dev/image/upload/f_auto,q_auto/v1/posts/86c900c533550b4da96070046b887d8d?_a=AQAEuiZ","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/phi-3-and-the-beginning-of-highly-performant-iphone-llms-sjcyvnimp","interactionStatistic":[{"@type":"InteractionCounter","interactionType":{"@type":"LikeAction"},"userInteractionCount":2},{"@type":"InteractionCounter","interactionType":{"@type":"CommentAction"},"userInteractionCount":0}],"keywords":"deep-learning,iphone","timeRequired":"PT7M"} {"@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":"Phi-3 and the Beginning of Highly Performant iPhone LLMs"}]} ```