{"id":971055,"date":"2023-10-04T10:18:10","date_gmt":"2023-10-04T17:18:10","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=971055"},"modified":"2024-04-26T09:21:20","modified_gmt":"2024-04-26T16:21:20","slug":"physics-of-agi","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/physics-of-agi\/","title":{"rendered":"Physics of AGI"},"content":{"rendered":"
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Physics of AGI<\/h1>\n\n\n\n

Understanding and improving emergent intelligence in large language models<\/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

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Physics of AGI<\/h2>\n\n\n\n

We’re a group of scientists working at Microsoft Research, trying to understand how intelligence emerges in large language models (LLMs), and use this understanding to improve that intelligence.<\/p>\n<\/div><\/div>\n\n\n\n

<\/div>\n\n\n","protected":false},"excerpt":{"rendered":"

Understanding and improving emergent intelligence in large language models We’re a group of scientists working at Microsoft Research, trying to understand how intelligence emerges in large language models (LLMs), and use this understanding to improve that intelligence.<\/p>\n","protected":false},"featured_media":1029138,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":true,"_classifai_error":"","footnotes":""},"research-area":[13556],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-971055","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[973251,973551,987762,354551,796022,1027065,881232,928674,967830,972744,973224,973236],"related-downloads":[991542,991551,991626,1027059],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Marah Abdin","user_id":39657,"people_section":"Section name 0","alias":"maabdin"},{"type":"user_nicename","display_name":"Jyoti Aneja","user_id":41338,"people_section":"Section name 0","alias":"jyotianeja"},{"type":"user_nicename","display_name":"Harkirat Behl","user_id":41548,"people_section":"Section name 0","alias":"hbehl"},{"type":"user_nicename","display_name":"Ronen Eldan","user_id":42675,"people_section":"Section name 0","alias":"roneneldan"},{"type":"user_nicename","display_name":"Suriya Gunasekar","user_id":38757,"people_section":"Section name 0","alias":"suriyag"},{"type":"user_nicename","display_name":"Mojan Javaheripi","user_id":42777,"people_section":"Section name 0","alias":"mojavaheripi"},{"type":"user_nicename","display_name":"Piero Kauffmann","user_id":41641,"people_section":"Section name 0","alias":"pkauffmann"},{"type":"user_nicename","display_name":"Yin Tat Lee","user_id":42684,"people_section":"Section name 0","alias":"yintatlee"},{"type":"user_nicename","display_name":"Anh Nguyen","user_id":42957,"people_section":"Section name 0","alias":"anhnguyen"},{"type":"user_nicename","display_name":"Shital Shah","user_id":35435,"people_section":"Section name 0","alias":"shitals"},{"type":"user_nicename","display_name":"Rachel Ward","user_id":42939,"people_section":"Section name 0","alias":"rachelward"},{"type":"user_nicename","display_name":"Gustavo de Rosa","user_id":40663,"people_section":"Section name 0","alias":"gderosa"}],"msr_research_lab":[199565,992148],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/971055"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":18,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/971055\/revisions"}],"predecessor-version":[{"id":1029144,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/971055\/revisions\/1029144"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/1029138"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=971055"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=971055"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=971055"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=971055"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=971055"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}