{"id":1278,"date":"2023-06-05T17:43:13","date_gmt":"2023-06-05T17:43:13","guid":{"rendered":"https:\/\/dailyai.com\/?p=1278"},"modified":"2023-06-05T17:43:13","modified_gmt":"2023-06-05T17:43:13","slug":"new-mit-self-learning-language-models-can-beat-other-llms","status":"publish","type":"post","link":"https:\/\/dailyai.com\/sv\/2023\/06\/new-mit-self-learning-language-models-can-beat-other-llms\/","title":{"rendered":"Nya sj\u00e4lvl\u00e4rande spr\u00e5kmodeller fr\u00e5n MIT kan sl\u00e5 andra LLM:er"},"content":{"rendered":"<p><span style=\"font-weight: 400\">Under de senaste sex m\u00e5naderna har vi sett en revolutionerande boom av <\/span><a href=\"https:\/\/dailyai.com\/sv\/2023\/05\/ai-powered-technology-slows-the-pacific-salmon-invasion-of-europe\/\"><span style=\"font-weight: 400\">AI-driven<\/span><\/a><span style=\"font-weight: 400\"> LLM:er (Large Language Models) st\u00e5r i centrum. Men \u00e4r det alltid n\u00f6dv\u00e4ndigt f\u00f6r en AI-produkt eller tj\u00e4nst att baseras p\u00e5 LLM:er? Enligt en artikel \u00e4r MIT:s nya sj\u00e4lvl\u00e4rande spr\u00e5kmodeller inte baserade p\u00e5 LLM:er och kan \u00f6vertr\u00e4ffa n\u00e5gra av de andra stora AI-system som f\u00f6r n\u00e4rvarande leder branschen.<\/span><\/p>\n<p><span style=\"font-weight: 400\">En grupp forskare vid MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) har utvecklat ett nytt s\u00e4tt att n\u00e4rma sig AI-spr\u00e5kmodeller.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Det \u00e4r en banbrytande prestation som betonar mindre spr\u00e5kmodeller och deras f\u00f6rm\u00e5ga att hantera problem med ineffektivitet samt integritetsfr\u00e5gor som \u00e4r kopplade till utvecklingen av stora AI-modeller baserade p\u00e5 textdata.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Med framv\u00e4xten av <\/span><a href=\"https:\/\/dailyai.com\/sv\/2023\/06\/openai-unveils-1m-cybersecurity-grant-program\/\"><span style=\"font-weight: 400\">OpenAI:s<\/span><\/a><span style=\"font-weight: 400\"> ChatGPT baserat p\u00e5 spr\u00e5kmodeller GPT-3 och GPT-4, m\u00e5nga f\u00f6retag gick med i AI-loppet, inklusive Google Bard, och andra <\/span><a href=\"https:\/\/dailyai.com\/sv\/2023\/06\/snapchat-generative-ai-my-ai-is-it-worth-the-hype\/\"><span style=\"font-weight: 400\">generativ AI<\/span><\/a><span style=\"font-weight: 400\"> system som g\u00f6r det m\u00f6jligt f\u00f6r m\u00e4nniskor att generera text, bilder och till och med videor.<\/span><\/p>\n<p><span style=\"font-weight: 400\">F\u00f6r att generera resultat av oklanderlig kvalitet f\u00f6rlitar sig dessa system dock p\u00e5 en m\u00e4ngd data som \u00e4r dyra att bearbeta ber\u00e4kningsm\u00e4ssigt. M\u00e5nga av dessa system importerar data f\u00f6r utbildning via API:er, vilket medf\u00f6r risker som datal\u00e4ckage och andra integritetsfr\u00e5gor.<\/span><\/p>\n<h2><b>Textuell sammankoppling<\/b><\/h2>\n<p><span style=\"font-weight: 400\">Enligt en ny rapport med titeln<\/span><a href=\"https:\/\/arxiv.org\/pdf\/2305.17197.pdf\"> <span style=\"font-weight: 400\">F\u00f6rvanskning som robusta sj\u00e4lvl\u00e4rande<\/span><\/a><span style=\"font-weight: 400\"> som f\u00f6r n\u00e4rvarande publiceras i f\u00f6rtrycksarkivet arXiv, noterar forskare att nya MIT sj\u00e4lvl\u00e4rande spr\u00e5kmodeller kan ta itu med problemet med att f\u00f6rst\u00e5 vissa spr\u00e5kuppgifter som stora spr\u00e5kmodeller har. De h\u00e4nvisar till denna banbrytande prestation som textuell entailment.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Modellerna bygger p\u00e5 konceptet att om det finns tv\u00e5 meningar - en premiss och en hypotes - och om premissen i den f\u00f6rsta meningen \u00e4r sann, \u00e4r det sannolikt att hypotesen ocks\u00e5 \u00e4r sann.<\/span><\/p>\n<p><span style=\"font-weight: 400\">I en<\/span><a href=\"https:\/\/www.csail.mit.edu\/news\/mit-researchers-make-language-models-scalable-self-learners\"> <span style=\"font-weight: 400\">uttalande<\/span><\/a><span style=\"font-weight: 400\"> som publicerades p\u00e5 MIT CSAIL-bloggen, skulle ett exempel p\u00e5 denna struktur vara att om \"alla katter har svans\" \u00e4r det troligt att hypotesen \"en tabbykatt har svans\" \u00e4r sann. Detta tillv\u00e4gag\u00e5ngss\u00e4tt leder till mindre partiskhet i <\/span><a href=\"https:\/\/dailyai.com\/sv\/2023\/05\/researchers-create-custom-tooth-crowns-using-3d-ai-model\/\"><span style=\"font-weight: 400\">AI-modeller<\/span><\/a><span style=\"font-weight: 400\">, vilket g\u00f6r att MIT:s nya sj\u00e4lvl\u00e4rande spr\u00e5kmodeller \u00f6vertr\u00e4ffar st\u00f6rre spr\u00e5kmodeller enligt uttalandet.<\/span><\/p>\n<p><span style=\"font-weight: 400\">\"V\u00e5ra sj\u00e4lvtr\u00e4nade entailment-modeller med 350 miljoner parametrar, utan m\u00e4nskligt genererade etiketter, \u00f6vertr\u00e4ffar \u00f6vervakade spr\u00e5kmodeller med 137 till 175 miljarder parametrar\", s\u00e4ger MIT CSAIL Postdoctoral Associate Hongyin Luo, huvudf\u00f6rfattare, i ett uttalande. \"<\/span><\/p>\n<p><span style=\"font-weight: 400\">Han tillade ocks\u00e5 att detta tillv\u00e4gag\u00e5ngss\u00e4tt skulle kunna vara till stor nytta f\u00f6r nuvarande AI-system och omforma maskininl\u00e4rningssystem p\u00e5 ett s\u00e4tt som \u00e4r mer skalbart, p\u00e5litligt och kostnadseffektivt n\u00e4r man arbetar med spr\u00e5kmodeller.<\/span><\/p>\n<h2>Nya sj\u00e4lvl\u00e4rande spr\u00e5kmodeller fr\u00e5n MIT \u00e4r fortfarande begr\u00e4nsade<\/h2>\n<p><span style=\"font-weight: 400\">\u00c4ven om MIT:s nya sj\u00e4lvl\u00e4rande spr\u00e5kmodeller lovar mycket n\u00e4r det g\u00e4ller att l\u00f6sa bin\u00e4ra klassificeringsproblem, \u00e4r de fortfarande begr\u00e4nsade till att l\u00f6sa flerklassiga klassificeringsproblem. Det inneb\u00e4r att den textuella inneb\u00f6rden inte fungerar lika bra n\u00e4r modellen presenteras med flera val.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Enligt James Glass, MIT-professor och CSAIL Principal Investigator, som ocks\u00e5 har skrivit artikeln, kan denna forskning belysa effektiva och \u00e4ndam\u00e5lsenliga metoder f\u00f6r att utbilda LLM:er i att f\u00f6rst\u00e5 problem med kontextuell inneb\u00f6rd.<\/span><\/p>\n<p><span style=\"font-weight: 400\">\"\u00c4ven om LLM-omr\u00e5det genomg\u00e5r snabba och dramatiska f\u00f6r\u00e4ndringar visar denna forskning att det \u00e4r m\u00f6jligt att producera relativt kompakta spr\u00e5kmodeller som presterar mycket bra p\u00e5 f\u00f6rst\u00e5elseuppgifter j\u00e4mf\u00f6rt med sina motsvarigheter av ungef\u00e4r samma storlek, eller till och med mycket st\u00f6rre spr\u00e5kmodeller\", s\u00e4ger han.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Denna forskning \u00e4r bara b\u00f6rjan p\u00e5 framtida AI-teknik som kan l\u00e4ra sig p\u00e5 egen hand och vara mer effektiv, h\u00e5llbar och fokuserad p\u00e5 datasekretess. Artikeln om MIT:s nya sj\u00e4lvl\u00e4rande spr\u00e5kmodeller kommer att presenteras i juli vid Association for Computational Linguistics m\u00f6te i Toronto. Projektet st\u00f6ds ocks\u00e5 av<\/span><a href=\"https:\/\/www.innohk.gov.hk\/en\/r-d-centres\/air-innohk\/centre-for-artificial-intelligence-and-robotics-hong-kong-institute-of-science-innovation-chinese-academy-of-sciences\/\"> <span style=\"font-weight: 400\">Hong Kong Innovation AI-program<\/span><\/a><span style=\"font-weight: 400\">.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Under de senaste sex m\u00e5naderna har vi sett en revolutionerande boom av AI-drivna LLM:er (Large Language Models) ta plats i centrum. Men \u00e4r det alltid n\u00f6dv\u00e4ndigt f\u00f6r en AI-produkt eller tj\u00e4nst att baseras p\u00e5 LLM:er? Enligt en artikel \u00e4r MIT:s nya sj\u00e4lvl\u00e4rande spr\u00e5kmodeller inte baserade p\u00e5 LLM:er och kan \u00f6vertr\u00e4ffa n\u00e5gra av de andra stora AI-system som f\u00f6r n\u00e4rvarande leder branschen. En grupp forskare vid MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) har utvecklat ett nytt s\u00e4tt att n\u00e4rma sig AI-spr\u00e5kmodeller. Det \u00e4r en banbrytande prestation som betonar mindre spr\u00e5kmodeller och deras f\u00f6rm\u00e5ga att hantera<\/p>","protected":false},"author":4,"featured_media":1280,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[118,117],"class_list":["post-1278","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-llms","tag-mit"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>New MIT self-learning language models can beat other LLMs | DailyAI<\/title>\n<meta name=\"description\" content=\"MIT self-learning language models are not based on LLMs and can outperform some of the other large AI systems that currently lead the industry\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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