{"id":44953,"date":"2024-08-28T13:55:48","date_gmt":"2024-08-28T11:55:48","guid":{"rendered":"https:\/\/www.schneider.systems\/?p=44953"},"modified":"2024-09-05T10:20:57","modified_gmt":"2024-09-05T08:20:57","slug":"microsoft-azure-ai-phi-model-available-a-new-era-in-ai","status":"publish","type":"post","link":"https:\/\/www.schneider.systems\/lu\/microsoft-azure-ai-phi-model-available-a-new-era-in-ai\/","title":{"rendered":"Microsoft Azure AI Phi Model available: A New Era in AI"},"content":{"rendered":"<p style=\"text-align: justify\">On August 22, 2024, Microsoft announced the release of the <strong><a href=\"https:\/\/www.schneider.systems\/lu\/microsoft-azure-ai-and-nvidia-ai-partnership\/\">Azure AI<\/a> Phi model<\/strong>. This new model aims to <strong>enhance AI capabilities<\/strong> with improved <strong>efficiency<\/strong> and <strong>flexibility<\/strong>. It is now available for developers to integrate into their AI solutions.<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-44978\" src=\"https:\/\/www.schneider.systems\/media\/2024\/08\/SCHNEIDER-IT-MANAGEMENT-2024-08-28-Update-Website-Microsoft-Azure-AI-Phi-Model-available.png\" alt=\"\" width=\"800\" height=\"514\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2 style=\"text-align: justify\"><strong>What is Azure AI Phi Model?<\/strong><\/h2>\n<p style=\"text-align: justify\">The Azure AI Phi model is a family of AI models developed by Microsoft. It includes the Phi-3.5-MoE and Phi-3.5-mini models. These models are designed to provide high-quality outputs with lower latency and computational efficiency.<\/p>\n<p>&nbsp;<\/p>\n<h2 style=\"text-align: justify\"><strong>Key Features<\/strong><\/h2>\n<ul style=\"text-align: justify\">\n<li><strong>Mixture of Experts (MoE) Model<\/strong>: Combines 16 smaller experts into one, using only 6.6 billion active parameters at a time.<\/li>\n<li><strong>Multi-Lingual Support<\/strong>: Supports over 20 languages, allowing users to interact in their preferred language.<\/li>\n<li><strong>High Efficiency<\/strong>: Delivers the benefits of a small model with the quality of a larger model.<\/li>\n<li><strong>Custom Generative Extraction Models<\/strong>: Extracts custom fields from unstructured documents with high accuracy.<\/li>\n<li><strong>Integrated Vectorization<\/strong>: Streamlines retrieval augmented generation (RAG) pipelines with integrated data preparation and embedding.<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<p style=\"text-align: justify\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-44982\" src=\"https:\/\/www.schneider.systems\/media\/2024\/08\/SCHNEIDER-IT-MANAGEMENT-2024-08-28-Update-Website-Azure-AI-Phi-Model-800x293.png\" alt=\"\" width=\"800\" height=\"293\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2 style=\"text-align: justify\"><strong>Licensing<\/strong><\/h2>\n<p style=\"text-align: justify\">The Azure AI Phi model is available through the Azure AI platform. Developers can choose from various plans based on their needs and usage. <a href=\"https:\/\/www.schneider.systems\/contact\/\">Reach out to SCHNEIDER IT MANAGEMENT<\/a> to find the best licensing solution for your needs.<\/p>\n<p>&nbsp;<\/p>\n<h2 style=\"text-align: justify\"><strong>FAQ<\/strong><\/h2>\n<p style=\"text-align: justify\"><strong>What is the Phi-3.5-MoE model?<\/strong><\/p>\n<p style=\"text-align: justify\">It is a Mixture of Experts model that combines 16 smaller experts into one, improving model quality and reducing latency.<\/p>\n<p style=\"text-align: justify\"><strong>\u00a0<\/strong><\/p>\n<p style=\"text-align: justify\"><strong>How many languages does the Phi model support?<\/strong><\/p>\n<p style=\"text-align: justify\">The Phi model supports over 20 languages.<\/p>\n<p style=\"text-align: justify\"><strong>\u00a0<\/strong><\/p>\n<p style=\"text-align: justify\"><strong>What are the benefits of using the Phi model?<\/strong><\/p>\n<p style=\"text-align: justify\">The Phi model offers high-quality outputs, lower latency, and multi-lingual support.<\/p>\n<p>&nbsp;<\/p>\n<h2 style=\"text-align: justify\"><strong>More information<\/strong><\/h2>\n<p style=\"text-align: justify\">For the official announcement, please visit: <a href=\"https:\/\/azure.microsoft.com\/en-us\/blog\/boost-your-ai-with-azures-new-phi-model-streamlined-rag-and-custom-generative-ai-models\/\">https:\/\/azure.microsoft.com\/en-us\/blog\/boost-your-ai-with-azures-new-phi-model-streamlined-rag-and-custom-generative-ai-models\/<\/a>.<\/p>\n<p style=\"text-align: justify\">For our <strong>Microsoft page<\/strong>, please visit: <a href=\"https:\/\/www.schneider.systems\/software\/microsoft\/\">https:\/\/www.schneider.systems\/software\/microsoft<\/a>.<\/p>\n<p style=\"text-align: justify\">Please <a href=\"https:\/\/www.schneider.systems\/contact\/\">contact us<\/a> for <strong>expert services<\/strong> on your specific Microsoft software and online services requirements and to <strong>request a quote today<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>On August 22, 2024, Microsoft announced the release of the Azure AI Phi model. This new model aims to enhance AI capabilities with improved efficiency and flexibility. It is now [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":33016,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[248],"tags":[],"class_list":["post-44953","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-microsoft-azure"],"_links":{"self":[{"href":"https:\/\/www.schneider.systems\/lu\/wp-json\/wp\/v2\/posts\/44953","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.schneider.systems\/lu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.schneider.systems\/lu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.schneider.systems\/lu\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/www.schneider.systems\/lu\/wp-json\/wp\/v2\/comments?post=44953"}],"version-history":[{"count":6,"href":"https:\/\/www.schneider.systems\/lu\/wp-json\/wp\/v2\/posts\/44953\/revisions"}],"predecessor-version":[{"id":45026,"href":"https:\/\/www.schneider.systems\/lu\/wp-json\/wp\/v2\/posts\/44953\/revisions\/45026"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.schneider.systems\/lu\/wp-json\/wp\/v2\/media\/33016"}],"wp:attachment":[{"href":"https:\/\/www.schneider.systems\/lu\/wp-json\/wp\/v2\/media?parent=44953"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.schneider.systems\/lu\/wp-json\/wp\/v2\/categories?post=44953"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.schneider.systems\/lu\/wp-json\/wp\/v2\/tags?post=44953"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}