{"id":7600,"date":"2025-05-17T14:16:11","date_gmt":"2025-05-17T05:16:11","guid":{"rendered":"https:\/\/aireviewirush.com\/?p=7600"},"modified":"2025-05-17T14:16:11","modified_gmt":"2025-05-17T05:16:11","slug":"saying-new-fine-tuning-fashions-and-strategies-in-azure-ai-foundry","status":"publish","type":"post","link":"https:\/\/aireviewirush.com\/?p=7600","title":{"rendered":"Saying new fine-tuning fashions and strategies in Azure AI Foundry"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p>\n\t\t\tAs we speak, we\u2019re excited to announce two main enhancements to mannequin fine-tuning in Azure AI Foundry\u2014Reinforcement Nice-Tuning (RFT) with o4-mini, coming quickly, and Supervised Nice-Tuning (SFT) for the 4.1-nano mannequin, out there now.\t\t<\/p>\n<p class=\"wp-block-paragraph\">As we speak, we\u2019re excited to announce three main enhancements to mannequin fine-tuning in Azure AI Foundry\u2014<strong>Reinforcement Nice-Tuning (RFT) with o4-mini (coming quickly), Supervised Nice-Tuning (SFT) for the GPT-4.1-nano <\/strong>and <strong>Llama 4 Scout mannequin (out there now)<\/strong>. These updates mirror our continued dedication to empowering organizations with instruments to construct extremely custom-made, domain-adapted AI methods for real-world impression.\u00a0<\/p>\n<p class=\"wp-block-paragraph\">With these new fashions, we\u2019re unblocking two main avenues of LLM customization: GPT-4.1-nano is a robust small mannequin, very best for distillation, whereas o4-mini is the primary reasoning mannequin you may fine-tune, and Llama 4 Scout is a best-in-class open supply mannequin.\u00a0<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_53 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title \" >Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\" role=\"button\"><label for=\"item-69e757c9b63a9\" ><span class=\"\"><span style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input aria-label=\"Toggle\" aria-label=\"item-69e757c9b63a9\"  type=\"checkbox\" id=\"item-69e757c9b63a9\"><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/aireviewirush.com\/?p=7600\/#Reinforcement_Nice-Tuning_with_o4-mini\" title=\"Reinforcement Nice-Tuning with o4-mini\u00a0\">Reinforcement Nice-Tuning with o4-mini\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/aireviewirush.com\/?p=7600\/#Actual_world_impression_DraftWise\" title=\"Actual world impression: DraftWise\u00a0\">Actual world impression: DraftWise\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/aireviewirush.com\/?p=7600\/#When_do_you_have_to_use_Reinforcement_Nice-Tuning\" title=\"When do you have to use Reinforcement Nice-Tuning?\">When do you have to use Reinforcement Nice-Tuning?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/aireviewirush.com\/?p=7600\/#Instance_Wealth_advisory_at_Contoso_Wellness\" title=\"Instance: Wealth advisory at Contoso Wellness\u00a0\">Instance: Wealth advisory at Contoso Wellness\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/aireviewirush.com\/?p=7600\/#Supervised_Nice-Tuning_now_out_there_for_GPT-41-nano\" title=\"Supervised Nice-Tuning now out there for GPT-4.1-nano\u00a0\">Supervised Nice-Tuning now out there for GPT-4.1-nano\u00a0<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/aireviewirush.com\/?p=7600\/#Why_Nice-tune_GPT-41-nano\" title=\"Why Nice-tune GPT-4.1-nano?\u00a0\">Why Nice-tune GPT-4.1-nano?\u00a0<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/aireviewirush.com\/?p=7600\/#Llama_4_Nice-Tuning_now_out_there\" title=\"Llama 4 Nice-Tuning now out there\u00a0\">Llama 4 Nice-Tuning now out there\u00a0<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/aireviewirush.com\/?p=7600\/#Get_began_with_Azure_AI_Foundry_right_this_moment\" title=\"Get began with Azure AI Foundry right this moment\">Get began with Azure AI Foundry right this moment<\/a><ul class='ez-toc-list-level-3'><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/aireviewirush.com\/?p=7600\/#Discover_additional\" title=\"Discover additional:\u00a0\">Discover additional:\u00a0<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/aireviewirush.com\/?p=7600\/#Azure_AI_providers\" title=\"Azure AI providers\">Azure AI providers<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"reinforcement-fine-tuning-with-o4-mini\"><span class=\"ez-toc-section\" id=\"Reinforcement_Nice-Tuning_with_o4-mini\"><\/span>Reinforcement Nice-Tuning with o4-mini\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">Reinforcement Nice-Tuning introduces a brand new stage of management for aligning mannequin habits with complicated enterprise logic. By rewarding correct reasoning and penalizing undesirable outputs, RFT improves mannequin decision-making in dynamic or high-stakes environments.<\/p>\n<p class=\"wp-block-paragraph\">Coming quickly for the <strong>o4-mini<\/strong> mannequin, RFT unlocks new prospects to be used circumstances requiring adaptive reasoning, contextual consciousness, and domain-specific logic\u2014all whereas sustaining quick inference efficiency.<\/p>\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\n<p>\n<iframe loading=\"lazy\" title=\"Reinforcement Fine-Tuning: The Future of Adaptive AI in Azure OpenAI Service\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/I7h0ywG2GKA?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\"><\/iframe>\n<\/p>\n<\/figure>\n<h2 class=\"wp-block-heading\" id=\"real-world-impact-draftwise\"><span class=\"ez-toc-section\" id=\"Actual_world_impression_DraftWise\"><\/span>Actual world impression: DraftWise\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">DraftWise, a authorized tech startup, used reinforcement fine-tuning (RFT) in Azure AI Foundry Fashions to reinforce the efficiency of reasoning fashions tailor-made for contract era and overview. Confronted with the problem of delivering extremely contextual, legally sound strategies to attorneys, DraftWise fine-tuned <a href=\"https:\/\/azure.microsoft.com\/en-us\/products\/ai-services\/openai-service\" target=\"_blank\" rel=\"noopener\">Azure OpenAI<\/a> fashions utilizing proprietary authorized knowledge to enhance response accuracy and adapt to nuanced person prompts. This led to a 30% enchancment in search end result high quality, enabling attorneys to draft contracts sooner and give attention to high-value advisory work.\u00a0<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"has-large-font-size wp-block-paragraph\">Reinforcement fine-tuning on reasoning fashions is a possible recreation changer for us. It\u2019s serving to our fashions perceive the nuance of authorized language and reply extra intelligently to complicated drafting directions, which guarantees to make our product considerably extra helpful to attorneys in actual time.<\/p>\n<p><cite>\u2014James Ding, founder and CEO of DraftWise.<\/cite><\/p><\/blockquote>\n<h2 class=\"wp-block-heading\" id=\"when-should-you-use-reinforcement-fine-tuning\"><span class=\"ez-toc-section\" id=\"When_do_you_have_to_use_Reinforcement_Nice-Tuning\"><\/span>When do you have to use Reinforcement Nice-Tuning?<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">Reinforcement Nice-Tuning is finest suited to use circumstances the place adaptability, iterative studying, and domain-specific habits are important. It is best to take into account RFT in case your state of affairs entails:\u00a0<\/p>\n<ol start=\"1\" class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Customized Rule Implementation:<\/strong> RFT thrives in environments the place resolution logic is very particular to your group and can&#8217;t be simply captured by means of static prompts or conventional coaching knowledge. It allows fashions to study versatile, evolving guidelines that mirror real-world complexity.\u00a0<\/li>\n<\/ol>\n<ol start=\"2\" class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Area-Particular Operational Requirements:<\/strong> Very best for eventualities the place inner procedures diverge from business norms\u2014and the place success is dependent upon adhering to these bespoke requirements. RFT can successfully encode procedural variations, equivalent to prolonged timelines or modified compliance thresholds, into the mannequin\u2019s habits.\u00a0<\/li>\n<\/ol>\n<ol start=\"3\" class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Excessive Resolution-Making Complexity:<\/strong> RFT excels in domains with layered logic and variable-rich resolution timber. When outcomes rely on navigating quite a few subcases or dynamically weighing a number of inputs, RFT helps fashions generalize throughout complexity and ship extra constant, correct choices.\u202f<\/li>\n<\/ol>\n<h2 class=\"wp-block-heading\" id=\"example-wealth-advisory-at-contoso-wellness\"><span class=\"ez-toc-section\" id=\"Instance_Wealth_advisory_at_Contoso_Wellness\"><\/span>Instance: Wealth advisory at Contoso Wellness\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">To showcase the potential of RFT, take into account Contoso Wellness, a fictitious wealth advisory agency. Utilizing RFT, the o4-mini mannequin discovered to adapt to distinctive enterprise guidelines, equivalent to figuring out optimum shopper interactions primarily based on nuanced patterns just like the ratio of a shopper\u2019s web value to out there funds. This enabled Contoso to streamline their onboarding processes and make extra knowledgeable choices sooner.<\/p>\n<figure class=\"wp-block-embed aligncenter is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\">\n<p>\n<iframe loading=\"lazy\" title=\"Reinforcement Fine-Tuning of Azure OpenAI Service o4-mini: Demonstration and Applications\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/L1LMzcqGQ8w?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\"><\/iframe>\n<\/p>\n<\/figure>\n<h2 class=\"wp-block-heading\" id=\"supervised-fine-tuning-now-available-for-gpt-4-1-nano\"><span class=\"ez-toc-section\" id=\"Supervised_Nice-Tuning_now_out_there_for_GPT-41-nano\"><\/span>Supervised Nice-Tuning now out there for GPT-4.1-nano\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">We\u2019re additionally bringing <strong>Supervised Nice-Tuning (SFT)<\/strong> to the <strong>GPT-4.1-nano<\/strong> mannequin\u2014a small however highly effective basis mannequin optimized for high-throughput, cost-sensitive workloads. With SFT, you may instill your mannequin with company-specific tone, terminology, workflows, and structured outputs\u2014all tailor-made to your area. This mannequin might be out there for fine-tuning within the coming days.\u00a0<\/p>\n<h3 class=\"wp-block-heading\" id=\"why-fine-tune-gpt-4-1-nano\"><span class=\"ez-toc-section\" id=\"Why_Nice-tune_GPT-41-nano\"><\/span>Why Nice-tune GPT-4.1-nano?\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Precision at Scale:<\/strong> Tailor the mannequin\u2019s responses whereas sustaining velocity and effectivity.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Enterprise-Grade Output:<\/strong> Guarantee alignment with enterprise processes and tone-of-voice.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\"><strong>Light-weight and Deployable:<\/strong> Excellent for eventualities the place latency and price matter\u2014equivalent to customer support bots, on-device processing, or high-volume doc parsing.\u00a0<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">In comparison with bigger fashions, <strong>4.1-nano<\/strong> delivers sooner inference and decrease compute prices, making it nicely suited to large-scale workloads like:\u00a0<\/p>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Buyer help automation, the place fashions should deal with hundreds of tickets per hour with constant tone and accuracy.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Inside information assistants that comply with firm type and protocol in summarizing documentation or responding to FAQs.\u00a0<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">As a small, quick, however extremely succesful mannequin, GPT-4.1-nano makes a terrific candidate for distillation as nicely. You need to use fashions like GPT-4.1 or o4 to generate coaching knowledge\u2014or seize manufacturing visitors with <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/ai-services\/openai\/how-to\/stored-completions?tabs=python-secure\" target=\"_blank\" rel=\"noreferrer noopener\">saved completions<\/a>\u2014and train 4.1-nano to be simply as good!<\/p>\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"3828\" height=\"1971\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/05\/nano.gif\" alt=\"Fine-tune gpt-4.1-nano demo in Azure AI Foundry.\" class=\"wp-image-40414\"\/><\/figure>\n<h2 class=\"wp-block-heading\" id=\"llama-4-fine-tuning-now-available\"><span class=\"ez-toc-section\" id=\"Llama_4_Nice-Tuning_now_out_there\"><\/span>Llama 4 Nice-Tuning now out there\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">We\u2019re additionally excited to announce help for fine-tuning Meta\u2019s Llama 4 Scout\u2014a leading edge,17 billion lively parameter mannequin which gives an business main context window of 10M tokens whereas becoming on a single H100 GPU for inferencing. It\u2019s a best-in-class mannequin, and extra highly effective than all earlier era llama fashions.\u00a0<\/p>\n<p class=\"wp-block-paragraph\">Llama 4 fine-tuning is offered in our <a href=\"https:\/\/learn.microsoft.com\/en-us\/azure\/ai-foundry\/how-to\/fine-tune-managed-compute\" target=\"_blank\" rel=\"noreferrer noopener\">managed compute providing<\/a>, permitting you to fine-tune and inference utilizing your personal GPU quota.\u00a0Obtainable in each Azure AI Foundry and as Azure Machine Studying parts, you&#8217;ve entry to extra hyperparameters for deeper customization in comparison with our serverless expertise.<\/p>\n<h2 class=\"wp-block-heading\" id=\"get-started-with-azure-ai-foundry-today\"><span class=\"ez-toc-section\" id=\"Get_began_with_Azure_AI_Foundry_right_this_moment\"><\/span>Get began with Azure AI Foundry right this moment<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"wp-block-paragraph\">Azure AI Foundry is your basis for enterprise-grade AI tuning. These fine-tuning enhancements unlock new frontiers in mannequin customization, serving to you construct clever methods that assume and reply in ways in which mirror your small business DNA.<\/p>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Use <strong>Reinforcement Nice-tuning with o4-mini<\/strong> to construct reasoning engines that study from expertise and evolve over time. Coming quickly in Azure AI Foundry, with regional availability for East US2 and Sweden Central.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Use <strong>Supervised Nice-Tuning with 4.1-nano<\/strong> to scale dependable, cost-efficient, and extremely custom-made mannequin behaviors throughout your group. Obtainable now in Azure AI Foundry in North Central US and Sweden Central.\u00a0<\/li>\n<\/ul>\n<ul class=\"wp-block-list\">\n<li class=\"wp-block-list-item\">Strive <strong>Llama 4 scout wonderful tuning <\/strong>to customise a best-in-class open supply mannequin. Obtainable now in Azure AI Foundry mannequin catalog and Azure Machine Studying.\u00a0<\/li>\n<\/ul>\n<p class=\"wp-block-paragraph\">With Azure AI Foundry, fine-tuning isn\u2019t nearly accuracy\u2014it\u2019s about <strong>belief, effectivity, and flexibility<\/strong> at each layer of your stack.\u00a0<\/p>\n<h3 class=\"wp-block-heading\" id=\"explore-further\"><span class=\"ez-toc-section\" id=\"Discover_additional\"><\/span>Discover additional:\u00a0<span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p class=\"wp-block-paragraph\">We\u2019re simply getting began. Keep tuned for extra mannequin help, superior tuning strategies, and instruments that can assist you construct AI that\u2019s smarter, safer, and uniquely yours.\u00a0<\/p>\n<aside class=\"cta-block cta-block--align-left cta-block--has-image wp-block-msx-cta\" data-bi-an=\"CTA Block\">\n<div class=\"cta-block__content\">\n<div class=\"cta-block__image-container\">\n\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"575\" src=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/Azure_Hero_Hexagon_Magenta_MagentaGrad_cropped-1024x575.webp\" class=\"cta-block__image\" alt=\"A colorful background with a white line\" srcset=\"https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/Azure_Hero_Hexagon_Magenta_MagentaGrad_cropped-1024x575.webp 1024w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/Azure_Hero_Hexagon_Magenta_MagentaGrad_cropped-300x169.webp 300w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/Azure_Hero_Hexagon_Magenta_MagentaGrad_cropped-768x432.webp 768w, https:\/\/azure.microsoft.com\/en-us\/blog\/wp-content\/uploads\/2025\/03\/Azure_Hero_Hexagon_Magenta_MagentaGrad_cropped.webp 1260w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"\/>\t\t\t<\/div>\n<div class=\"cta-block__body\">\n<h2 class=\"cta-block__headline\"><span class=\"ez-toc-section\" id=\"Azure_AI_providers\"><\/span>Azure AI providers<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p class=\"cta-block__text\">Construct cutting-edge, market-ready AI purposes with out-of-the-box and customizable APIs and fashions<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<\/aside><\/div>\n<p><script>\n\t\tfunction facebookTracking() {\n\t\t\t!function(f,b,e,v,n,t,s){if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n\t\t\t\tn.callMethod.apply(n,arguments):n.queue.push(arguments)};if(!f._fbq)f._fbq=n;\n\t\t\t\tn.push=n;n.loaded=!0;n.version='2.0';n.queue=[];t=b.createElement(e);t.async=!0;\n\t\t\t\tt.src=v;t.type=\"ms-delay-type\";t.setAttribute('data-ms-type','text\/javascript');\n\t\t\t\ts=b.getElementsByTagName(e)[0];s.parentNode.insertBefore(t,s)}(window,\n\t\t\t\tdocument,'script','https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n\t\t\tfbq('init', '1770559986549030');\n\t\t\t\t\t\tfbq('track', 'PageView');\n\t\t\t\t\t}\n\t<\/script><br \/>\n<br \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As we speak, we\u2019re excited to announce two main enhancements to mannequin fine-tuning in Azure AI Foundry\u2014Reinforcement Nice-Tuning (RFT) with o4-mini, coming quickly, and Supervised Nice-Tuning (SFT) for the 4.1-nano mannequin, out there now. As we speak, we\u2019re excited to announce three main enhancements to mannequin fine-tuning in Azure AI Foundry\u2014Reinforcement Nice-Tuning (RFT) with o4-mini [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":7602,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22],"tags":[],"class_list":{"0":"post-7600","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-iot"},"_links":{"self":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/7600","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=7600"}],"version-history":[{"count":1,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/7600\/revisions"}],"predecessor-version":[{"id":7601,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/posts\/7600\/revisions\/7601"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=\/wp\/v2\/media\/7602"}],"wp:attachment":[{"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7600"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7600"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aireviewirush.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7600"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}