{"id":1139950,"date":"2025-10-01T13:56:46","date_gmt":"2025-10-01T20:56:46","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/"},"modified":"2025-12-09T14:10:50","modified_gmt":"2025-12-09T22:10:50","slug":"copilot-tuning-research","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/group\/copilot-tuning-research\/","title":{"rendered":"Copilot Tuning Research"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background- card-background--full-bleed\">\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1536\" height=\"1024\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/6fb42350-d40f-47b7-a7df-8d8b083ccb9a.png\" class=\"attachment-full size-full\" alt=\"background pattern\" style=\"\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/6fb42350-d40f-47b7-a7df-8d8b083ccb9a.png 1536w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/6fb42350-d40f-47b7-a7df-8d8b083ccb9a-300x200.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/6fb42350-d40f-47b7-a7df-8d8b083ccb9a-1024x683.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/6fb42350-d40f-47b7-a7df-8d8b083ccb9a-768x512.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2025\/09\/6fb42350-d40f-47b7-a7df-8d8b083ccb9a-240x160.png 240w\" sizes=\"auto, (max-width: 1536px) 100vw, 1536px\" \/>\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 \">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 class=\"wp-block-heading\" id=\"copilot-tuning-research-and-applied-science\">Copilot Tuning Research and Applied Science<\/h1>\n\n\n\n<p><\/p>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<p>The mission of the Copilot Tuning Research and Applied Science teams is to ensure that AI can be easily adapted and tuned to enable critical, high-value applications, including entirely new productivity tools. We are creating algorithms, architectures, data, and eval pipelines to adapt LLMs, reasoning models, multimodal and other foundation models using customer-specific data and feedback. Our work focuses on enabling domain adaptation through accessible no-code and low-code interfaces, allowing subject-matter experts to construct specialized agents for new tasks\u2014all while preserving strict tenant-level security and governance constraints.<\/p>\n\n\n\n<p>Our research is inherently interdisciplinary, integrating advances in machine learning, systems engineering, and human-computer interaction to translate state-of-the-art AI techniques into deployable solutions. We work closely with customers, engineers, product managers to ensure that our research innovations progress from conceptual design to real-world validations into turn-key platform experiences at scale.<\/p>\n\n\n\n<p>Learn more about Copilot Tuning: <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/techcommunity.microsoft.com\/blog\/Microsoft365CopilotBlog\/introducing-microsoft-365-copilot-tuning\/4414762\">Introducing Microsoft 365 Copilot Tuning | Microsoft Community Hub<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/p>\n\n\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The mission of the Copilot Tuning Research and Applied Science teams is to ensure that AI can be easily adapted and tuned to enable critical, high-value applications, including entirely new productivity tools. We are creating algorithms, architectures, data, and eval pipelines to adapt LLMs, reasoning models, multimodal and other foundation models using customer-specific data and [&hellip;]<\/p>\n","protected":false},"featured_media":1150535,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_group_start":"2025-08-24","footnotes":""},"research-area":[13556],"msr-group-type":[243694],"msr-locale":[268875],"msr-impact-theme":[],"class_list":["post-1139950","msr-group","type-msr-group","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-group-type-group","msr-locale-en_us"],"msr_group_start":"2025-08-24","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[],"related-researchers":[{"type":"guest","display_name":"Vasvi Agarwal","user_id":1158078,"people_section":"Research Team","alias":""},{"type":"user_nicename","display_name":"Adam Atkinson","user_id":37095,"people_section":"Research Team","alias":"adatkins"},{"type":"guest","display_name":"Ken Birman","user_id":1151584,"people_section":"Research Team","alias":""},{"type":"user_nicename","display_name":"Tusher Chakraborty","user_id":40210,"people_section":"Research Team","alias":"tusherc"},{"type":"guest","display_name":"Jimmy Chen","user_id":1150559,"people_section":"Research Team","alias":""},{"type":"guest","display_name":"Soham Dan","user_id":1150562,"people_section":"Research Team","alias":""},{"type":"guest","display_name":"Radhika Gaonkar","user_id":1150563,"people_section":"Research Team","alias":""},{"type":"user_nicename","display_name":"Harsh Jhamtani","user_id":42132,"people_section":"Research Team","alias":"hjhamtani"},{"type":"user_nicename","display_name":"Emre Kiciman","user_id":31739,"people_section":"Research Team","alias":"emrek"},{"type":"user_nicename","display_name":"Anton Schwaighofer","user_id":31059,"people_section":"Research Team","alias":"antonsc"},{"type":"guest","display_name":"Shivam Shandilya","user_id":1151596,"people_section":"Research Team","alias":""},{"type":"user_nicename","display_name":"Swati Sharma","user_id":40756,"people_section":"Research Team","alias":"swatisharma"},{"type":"guest","display_name":"Justin Svegliato","user_id":1150561,"people_section":"Research Team","alias":""},{"type":"user_nicename","display_name":"Sam Thomson","user_id":40354,"people_section":"Research Team","alias":"sathomso"},{"type":"user_nicename","display_name":"Ben Van Durme","user_id":39468,"people_section":"Research Team","alias":"bevandur"},{"type":"user_nicename","display_name":"Patrick Xia","user_id":42504,"people_section":"Research Team","alias":"patrickxia"},{"type":"guest","display_name":"Rakshanda Agarwal","user_id":1151593,"people_section":"Applied Science Team","alias":""},{"type":"guest","display_name":"Alejandro Alanis","user_id":1151585,"people_section":"Applied Science Team","alias":""},{"type":"guest","display_name":"Saeid Asgari","user_id":1151595,"people_section":"Applied Science Team","alias":""},{"type":"user_nicename","display_name":"Cassiano Becker","user_id":43896,"people_section":"Applied Science Team","alias":"casbecker"},{"type":"guest","display_name":"Mandar Bhurchandi","user_id":1151589,"people_section":"Applied Science Team","alias":""},{"type":"user_nicename","display_name":"Alex Crown","user_id":30817,"people_section":"Applied Science Team","alias":"acrown"},{"type":"user_nicename","display_name":"Roberto Estev\u00e3o","user_id":40774,"people_section":"Applied Science Team","alias":"robertode"},{"type":"guest","display_name":"Pankaj Gulhane","user_id":1151591,"people_section":"Applied Science Team","alias":""},{"type":"guest","display_name":"Shreyas Kulkarni","user_id":1151594,"people_section":"Applied Science Team","alias":""},{"type":"guest","display_name":"Chengxi Li","user_id":1151586,"people_section":"Applied Science Team","alias":""},{"type":"user_nicename","display_name":"Sara Malvar","user_id":40753,"people_section":"Applied Science Team","alias":"saramalvar"},{"type":"user_nicename","display_name":"Leonardo Nunes","user_id":40759,"people_section":"Applied Science Team","alias":"lnunes"},{"type":"guest","display_name":"Rafael Padilha","user_id":1151592,"people_section":"Applied Science Team","alias":""},{"type":"guest","display_name":"Guilherme Potje","user_id":1151587,"people_section":"Applied Science Team","alias":""},{"type":"guest","display_name":"Oriolson Rodriguez","user_id":1151590,"people_section":"Applied Science Team","alias":""},{"type":"user_nicename","display_name":"Bruno Silva","user_id":42309,"people_section":"Applied Science Team","alias":"brunosilva"},{"type":"guest","display_name":"Guilherme Yambanis Thomaz","user_id":1151588,"people_section":"Applied Science Team","alias":""},{"type":"user_nicename","display_name":"Renato Luiz de Freitas Cunha","user_id":40627,"people_section":"Applied Science Team","alias":"renatoluizd"},{"type":"user_nicename","display_name":"Angels de Luis Balaguer","user_id":43128,"people_section":"Applied Science Team","alias":"angelsd"}],"related-publications":[1124166,1162857,1152099,1142376,1133466,1131318,1130622,1130556,1124211,1124196,1124190,1124184,883221,1124154,1103553,1103544,1098711,1014897,1008480,974454,944586,938646,912897],"related-downloads":[],"related-videos":[],"related-projects":[],"related-events":[],"related-opportunities":[1148184,1150029],"related-posts":[],"tab-content":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/1139950","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-group"}],"version-history":[{"count":7,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/1139950\/revisions"}],"predecessor-version":[{"id":1151676,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/1139950\/revisions\/1151676"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1150535"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=1139950"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=1139950"},{"taxonomy":"msr-group-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group-type?post=1139950"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=1139950"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=1139950"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}