{"id":259,"date":"2024-09-05T05:41:00","date_gmt":"2024-09-05T05:41:00","guid":{"rendered":"https:\/\/naujienosversle.lt\/index.php\/2024\/09\/05\/helsinkyje-isikurusi-root-signals-surinko-25-mln-eur-kad-genai-rezultatai-butu-ismatuojami-ir-patikimi\/"},"modified":"2024-09-05T05:41:00","modified_gmt":"2024-09-05T05:41:00","slug":"helsinkyje-isikurusi-root-signals-surinko-25-mln-eur-kad-genai-rezultatai-butu-ismatuojami-ir-patikimi","status":"publish","type":"post","link":"https:\/\/naujienosversle.lt\/index.php\/2024\/09\/05\/helsinkyje-isikurusi-root-signals-surinko-25-mln-eur-kad-genai-rezultatai-butu-ismatuojami-ir-patikimi\/","title":{"rendered":"Helsinkyje \u012fsik\u016brusi \u201eRoot Signals\u201c surinko 2,5 mln. EUR, kad \u201eGenAI\u201c rezultatai b\u016bt\u0173 i\u0161matuojami ir patikimi"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div>\n<p><span style=\"font-weight: 400;\">\u0160akniniai signalai<\/span><span style=\"font-weight: 400;\">Helsinkyje ir Palo Alto \u012fsik\u016br\u0119s startuolis, kurio specializacija yra generatyvinis AI (GenAI) matavimas naudojant LLM-as-a-Judge metodus, surinko 2,5 mln. Tur\u0105 ved\u0117 <\/span><span style=\"font-weight: 400;\">Angular Ventures<\/span><span style=\"font-weight: 400;\">dalyvaujant \u201eBusiness Finland\u201c. \u201eRoot Signals\u201c panaudos finansavim\u0105, kad paspartint\u0173 savo platformos ir modeli\u0173 k\u016brim\u0105 bei pardavimo ir rinkodaros galimybes. <\/span><span style=\"font-weight: 400;\">Root Signals padeda \u012fmon\u0117ms paspartinti GenAI pritaikym\u0105, suteikdama joms \u012fmon\u0117s lygio \u012frankius, skirtus visapusi\u0161kai matuoti, valdyti ir steb\u0117ti LLM programas.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Siekdami saugiai pristatyti GenAI varomas verslo programas \u012f gamyb\u0105, AI in\u017einieriai prad\u0117jo naudoti apsauginius tur\u0117klus, kad blokuot\u0173 nenumatyt\u0105 elges\u012f. \u0160is metodas kontroliuoja rizik\u0105, ta\u010diau suteikia ma\u017eai galimybi\u0173 padidinti vert\u0119. Vietoj to, daugelis supranta, kad jiems reikia atid\u017eiai i\u0161nagrin\u0117ti AI i\u0161vestis naudojant plat\u0173 matavim\u0173 s\u0105ra\u0161\u0105 su automatika, imituojan\u010dia \u017emogaus ap\u017evalginink\u0105.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Galiausiai \u0161\u012f sud\u0117ting\u0105 u\u017eduot\u012f gali automatizuoti tik kiti AI modeliai, da\u017enai vadinama LLM kaip teis\u0117jas. Tai leid\u017eia kiekybi\u0161kai \u012fvertinti, pavyzd\u017eiui, haliucinacij\u0173 laipsn\u012f, atsakym\u0173 tinkamum\u0105 arba atitikt\u012f reikalavimams. Ta\u010diau dabartin\u0117s AI sistemos nepakankamai atsi\u017evelgia \u012f sud\u0117tingum\u0105, i\u0161laidas ir nepatikimum\u0105.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Didel\u012f, ilgalaik\u012f po\u017ei\u016br\u012f \u012f tai bendrov\u0117 vadina EvalOps. Palengvindama \u0161i\u0173 sud\u0117ting\u0173 matavim\u0173 k\u016brim\u0105 ir automatizavim\u0105, \u201eRoot Signals\u201c leid\u017eia gamybinio lygio \u201eGenAI\u201c programas \u012fvertinti kiekybi\u0161kai, patikimai, tikrinti ir pakartotinai naudoti.<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">\u201eGenAI neturi integruotos kokyb\u0117s kontrol\u0117s. Negalite to laikyti tradicine programine \u012franga, o reikia galvoti apie tai kaip apie nepatikim\u0105 laisvai samdom\u0105 darbuotoj\u0105. Turite b\u016bti pedanti\u0161ki jai instruktuodami, tada patikrinkite jo veikim\u0105 septyniais skirtingais b\u016bdais \u2013 o rytoj patikrinkite dar kart\u0105. Padarome tai kei\u010diam\u0105 naudodami metrik\u0105, kuri yra suprantama ir lengvai pri\u017ei\u016brima gamyboje. Dauguma kit\u0173 elektrini\u0173 \u012franki\u0173 \u0161iame sektoriuje yra per \u017eemo lygio ir sud\u0117tingi, arba juose yra daugiau juod\u0173j\u0173 d\u0117\u017ei\u0173, kurios padidina patikimum\u0105.<\/span><\/i><span style=\"font-weight: 400;\">  Dr. Ari Heljakka, \u201eRoot Signals\u201c \u012fk\u016br\u0117jas ir generalinis direktorius, turintis GenAI moksl\u0173 daktaro laipsn\u012f. <\/span><\/p>\n<h3><b>Greitesni modeliai<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Labiausiai trok\u0161tantys \u201eRoot Signals\u201c pritaikyti buvo nepriklausomi programin\u0117s \u012frangos pardav\u0117jai, teikiantys \u201eGenAI\u201c varomus vertikalius robotus savo specifin\u0117ms kompetencijos sritims, AI komandos, kuriose dirba greitai besikei\u010diantys esami pramon\u0117s \u017eaid\u0117jai, siekiantys \u012fgyti konkurencin\u012f prana\u0161um\u0105, ir LLM programin\u0117s \u012frangos konsultantai. Naudodamos \u201eRoot Signals\u201c \u012fmon\u0117s gali greitai sukurti i\u0161sami\u0105 metrik\u0105, tod\u0117l lengva atlikti i\u0161sam\u0173 modeli\u0173 palyginim\u0105. Tai atveria principin\u012f b\u016bd\u0105 pakeisti didelius modelius, pvz., GPT, ma\u017eesniais, greitesniais vietiniais modeliais \u2013 tai itin svarbu reguliuojam\u0173 pramon\u0117s \u0161ak\u0173 \u012fmon\u0117ms.<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">\u201eM\u016bs\u0173 vertinimai atskleid\u017eia i\u0161 esm\u0117s daugiau nei 50 pastar\u0173j\u0173 met\u0173 straipsni\u0173 geriausi\u0105 praktik\u0105 ir \u012f\u017evalgas\u201c, <\/span><\/i><span style=\"font-weight: 400;\">pakomentavo Oguzhan Gencoglu, \u201eRoot Signals\u201c AI vadovas. <\/span><i><span style=\"font-weight: 400;\">\u201eNors AI elgsenos matavimas yra vienas dalykas, m\u016bs\u0173 vartotojai nuolat klausia: \u201eKaip a\u0161 arba mano klientai galiu pasitik\u0117ti pa\u010diu j\u016bs\u0173 AI? Taigi, skirtingai nei kiti \u017eaid\u0117jai, mes \u012ftrauk\u0117me sav\u0119s i\u0161matavim\u0105 \u012f savo vertinimo variklio branduol\u012f.<\/span><\/i><\/p>\n<p><i><span style=\"font-weight: 400;\">\u201eRoot Signals metodas naudoti AI \u012fmon\u0117s AI diegimui valdyti yra intuityvus\u201c,<\/span><\/i><span style=\"font-weight: 400;\">  prid\u016br\u0117 Gilas Dibneris i\u0161 \u201eAngular Ventures\u201c. <\/span><i><span style=\"font-weight: 400;\">\u201eVisi \u017eino, kad 90% \u012fmoni\u0173 GenAI projekt\u0173 stringa. Kad \u012fmon\u0117s b\u016bt\u0173 s\u0117kmingos, jos tur\u0117s \u012fdiegti LLM specifines vertinimo priemones, o tai n\u0117ra lengva prad\u0117ti. Pakankamai gerai tai padaryti \u012fmon\u0117s naudojimo atvejais rei\u0161kia sukurti tvirt\u0105 LLM teis\u0117j\u0173 grup\u0119, ir tik kelios \u012fmon\u0117s turi pakankamai \u017eini\u0173 tai padaryti. J\u0173 laimei, \u201eRoot Signals\u201c \u012fk\u016br\u0117jai apie \u0161i\u0105 problem\u0105 galvojo 20 met\u0173.<\/span><\/i><\/p>\n<\/div>\n<p><script>\n        !function(f,b,e,v,n,t,s)\n        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n            n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n            if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n            n.queue=();t=b.createElement(e);t.async=!0;\n            t.src=v;s=b.getElementsByTagName(e)(0);\n            s.parentNode.insertBefore(t,s)}(window, document,'script',\n            'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n        fbq('init', '154586475232058');\n        fbq('track', 'PageView');\n    <\/script><br \/>\n<br \/><br \/>\n<br \/><a href=\"https:\/\/www.eu-startups.com\/2024\/09\/helsinki-based-root-signals-raises-e2-5-million-to-make-genai-outputs-measurable-and-reliable\/\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u0160akniniai signalaiHelsinkyje ir Palo Alto \u012fsik\u016br\u0119s startuolis, kurio specializacija yra generatyvinis AI (GenAI) matavimas naudojant LLM-as-a-Judge metodus, surinko 2,5 mln. Tur\u0105 ved\u0117 Angular Venturesdalyvaujant \u201eBusiness Finland\u201c. \u201eRoot Signals\u201c panaudos finansavim\u0105, kad paspartint\u0173 savo platformos ir modeli\u0173 k\u016brim\u0105 bei pardavimo ir rinkodaros galimybes. Root Signals padeda \u012fmon\u0117ms paspartinti GenAI pritaikym\u0105, suteikdama joms \u012fmon\u0117s lygio \u012frankius, skirtus&#8230;<\/p>\n","protected":false},"author":1,"featured_media":260,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[6],"tags":[159,107,157,154,53,160,108,56,161,158,155,156,106],"class_list":["post-259","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-europos-verslo-naujienos","tag-butu","tag-eur","tag-genai","tag-helsinkyje","tag-isikurusi","tag-ismatuojami","tag-kad","tag-mln","tag-patikimi","tag-rezultatai","tag-root","tag-signals","tag-surinko"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/naujienosversle.lt\/index.php\/wp-json\/wp\/v2\/posts\/259","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/naujienosversle.lt\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/naujienosversle.lt\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/naujienosversle.lt\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/naujienosversle.lt\/index.php\/wp-json\/wp\/v2\/comments?post=259"}],"version-history":[{"count":0,"href":"https:\/\/naujienosversle.lt\/index.php\/wp-json\/wp\/v2\/posts\/259\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/naujienosversle.lt\/index.php\/wp-json\/wp\/v2\/media\/260"}],"wp:attachment":[{"href":"https:\/\/naujienosversle.lt\/index.php\/wp-json\/wp\/v2\/media?parent=259"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/naujienosversle.lt\/index.php\/wp-json\/wp\/v2\/categories?post=259"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/naujienosversle.lt\/index.php\/wp-json\/wp\/v2\/tags?post=259"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}