{"id":13466,"date":"2026-09-25T11:22:11","date_gmt":"2026-09-25T06:22:11","guid":{"rendered":"https:\/\/pivot.uz\/?p=13466"},"modified":"2026-09-25T11:28:42","modified_gmt":"2026-09-25T06:28:42","slug":"ai-modellarining-ortidagi-malumotlar-uchun-350-mln-snorkel-ai-bahosi-35-mlrd","status":"publish","type":"post","link":"https:\/\/pivot.uz\/uz\/ai-modellarining-ortidagi-malumotlar-uchun-350-mln-snorkel-ai-bahosi-35-mlrd\/","title":{"rendered":"AI modellarining ortidagi ma\u2019lumotlar uchun $350 mln: Snorkel AI bahosi $3,5 mlrd"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">AQShning Snorkel AI startapi yangi investitsiya raundida <strong>$350 mln<\/strong> jalb qildi. Bitimdan so\u2018ng kompaniyaning bahosi <strong>$3,5 mlrd<\/strong>ga yetdi.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Snorkel AI ChatGPT yoki boshqa ommaviy AI modellarini yaratmaydi. Kompaniya AI modellarini o\u2018qitish uchun zarur bo\u2018lgan <strong>ma\u2019lumotlarni tayyorlash va moslashtirish<\/strong> bilan shug\u2018ullanadi.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">AI uchun ma\u2019lumotlarni tayyorlaydi<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">AI modelining natijasi faqat uning arxitekturasi yoki hisoblash quvvatiga emas, balki uni o\u2018qitishda ishlatilgan ma\u2019lumotlarning sifatiga ham bog\u2018liq. Snorkel AI aynan shu jarayonning muhim qismi bilan shug\u2018ullanadi.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Kompaniya turli soha mutaxassislarining bilimlarini qayta ishlab, AI modellarini o\u2018qitishga mos ma\u2019lumotlar yaratadi. Bu jarayon <strong>kodlash, huquq, tibbiyot va boshqa murakkab sohalar<\/strong> uchun maxsus ma\u2019lumotlar va o\u2018qitish muhitlarini tayyorlashni o\u2018z ichiga oladi.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Snorkel\u2019ning platformasi tashkilotlarga mavjud ma\u2019lumotlarni belgilash, tartibga solish va AI modellarini o\u2018qitish uchun kerakli formatga keltirish imkonini beradi.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Daromad ham keskin oshgan<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Kompaniya ma\u2019lumotlariga ko\u2018ra, uning yilliklashtirilgan daromad sur\u2019ati (ARR) so\u2018nggi bir yil ichida <strong>$20 mln atrofidan $375 mln<\/strong>gacha oshgan.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Bu o\u2018sish Snorkel AI xizmatlariga, ayniqsa yirik tashkilotlar va murakkab sohalarda ishlaydigan kompaniyalarning talabini ko\u2018rsatadi.<br><br>Yangi investitsiya nimaga sarflanadi?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Snorkel AI yangi mablag\u2018larni bir nechta yo\u2018nalishga yo\u2018naltirmoqchi. Ular orasida <strong>jamoani kengaytirish, korporativ va davlat loyihalarini rivojlantirish hamda yangi turdagi ma\u2019lumotlar yaratish<\/strong> bor.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Kompaniya shu orqali AI modellarini yaratadigan tashkilotlar uchun ma\u2019lumot tayyorlash jarayonini yanada tezlashtirish va kengaytirishni maqsad qilmoqda.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Snorkel AI\u2019ning katta investitsiya jalb qilgani AI bozorida faqat model yaratadigan kompaniyalar emas, balki <strong>AI uchun ma\u2019lumotlarni tayyorlaydigan infratuzilma kompaniyalari<\/strong> ham tobora katta qiymatga ega bo\u2018layotganini ko\u2018rsatadi.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Snorkel AI yangi investitsiya raundida $350 mln jalb qilib, kompaniya bahosini $3,5 mlrdga yetkazdi. Startapning o\u2018zi ChatGPT kabi AI model yaratmaydi \u2014 u AI modellarini o\u2018qitish uchun zarur bo\u2018lgan ma\u2019lumotlarni tayyorlaydi.<\/p>\n","protected":false},"author":1,"featured_media":13462,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jnews-multi-image_gallery":[],"jnews_single_post":{"format":"standard"},"jnews_primary_category":[],"jnews_override_bookmark_settings":[],"jnews_paywall_metabox":[],"jnews_override_counter":[],"jnews_podcast_option":[],"jnews_podcast_series":[],"footnotes":""},"categories":[53],"tags":[],"jnews-series":[],"class_list":["post-13466","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-hisobotlar"],"_links":{"self":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts\/13466","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/comments?post=13466"}],"version-history":[{"count":1,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts\/13466\/revisions"}],"predecessor-version":[{"id":13467,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/posts\/13466\/revisions\/13467"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/media\/13462"}],"wp:attachment":[{"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/media?parent=13466"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/categories?post=13466"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/tags?post=13466"},{"taxonomy":"jnews-series","embeddable":true,"href":"https:\/\/pivot.uz\/uz\/wp-json\/wp\/v2\/jnews-series?post=13466"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}