{"id":98991,"date":"2024-10-01T03:00:08","date_gmt":"2024-10-01T03:00:08","guid":{"rendered":"https:\/\/kamucalisani.net\/?p=98991"},"modified":"2024-10-01T03:00:08","modified_gmt":"2024-10-01T03:00:08","slug":"cin-yapay-zekada-abdnin-bir-yil-gerisinde-ama-fark-onemli","status":"publish","type":"post","link":"https:\/\/kamucalisani.net\/index.php\/2024\/10\/01\/cin-yapay-zekada-abdnin-bir-yil-gerisinde-ama-fark-onemli\/","title":{"rendered":"\u00c7in yapay zekada ABD\u2019nin bir y\u0131l gerisinde ama fark \u201c\u00f6nemli\u201d"},"content":{"rendered":"<p><figure> <span> <img decoding=\"async\" src=\"https:\/\/kamucalisani.net\/wp-content\/uploads\/2024\/10\/cin-yapay-zekada-abdnin-bir-yil-gerisinde-ama-fark-onemli-0-GEPcGRVh.jpg\"\/> <\/span> Uzmanlara g\u00f6re <strong>ABD<\/strong>, b\u00fcy\u00fck dil modellerinde (LLM- Large Language Model) <strong>\u00c7in<\/strong>&#8216;in yakla\u015f\u0131k <strong>bir y\u0131l \u00f6n\u00fcnde<\/strong> bulunuyor. Uzmanlar, OpenAI\u2019nin en son duyurdu\u011fu o1 modelinin ard\u0131ndan \u00c7in\u2019in bu alanda daha fazla yol kat etmesi gerekti\u011fini vurguluyor. \u00c7in\u2019in metin \u00fcretiminde kullan\u0131lan LLM&#8217;lerde ABD\u2019nin yakla\u015f\u0131k alt\u0131 ay ila bir y\u0131l gerisinde oldu\u011funun alt\u0131 \u00e7iziliyor. <\/figure>\n<p><b>ABD, \u00c7in\u2019in 1 y\u0131l \u00f6n\u00fcnde<\/b><\/p>\n<p>Her ne kadar bu fark k\u00fc\u00e7\u00fck gibi g\u00f6r\u00fcnse de, yapay zeka h\u0131zla geli\u015fti\u011fi i\u00e7in bu bo\u015flu\u011fu kapatmak zor olacak. Son iki bu\u00e7uk y\u0131lda her y\u0131l yapay zeka yeteneklerinde b\u00fcy\u00fck de\u011fi\u015fiklikler ya\u015fand\u0131\u011f\u0131n\u0131 g\u00f6r\u00fcyoruz. Dolay\u0131s\u0131yla bir y\u0131l \u00e7ok uzun bir s\u00fcre gibi g\u00f6r\u00fcnmese de yapay zeka konusunda ciddi bir fark.<\/p>\n<p>\u00c7inli yapay zeka giri\u015fimcisi Li Dahai de benzer bir de\u011ferlendirmede bulundu. Dahai, <strong>\u00e7evrimi\u00e7i b\u00fcy\u00fck dil modelleri<\/strong> konusunda \u00c7in ile ABD aras\u0131ndaki fark\u0131n h\u00e2l\u00e2 <strong>bir ila iki y\u0131l<\/strong> oldu\u011funu ifade etti. Ayr\u0131ca, \u015fu anda \u00c7in&#8217;deki hi\u00e7bir LLM modelinin OpenAI\u2019nin <strong>GPT-4 modeline ula\u015fmad\u0131\u011f\u0131n\u0131<\/strong> ya da onu a\u015famad\u0131\u011f\u0131n\u0131 ekledi.<\/p>\n<p>OpenAI, 12 Eyl\u00fcl\u2019de <strong>o1<\/strong> <strong>OpenAI sees roughly $5 billion loss this year on $3.7 billion in revenue<\/strong> modelini duyurdu ve bu modelin \u00f6zellikle bilim, kodlama ve matematik gibi mant\u0131k gerektiren alanlarda di\u011fer modellerini geride b\u0131rakt\u0131\u011f\u0131n\u0131 belirtti. \u015eirket, modelin &#8220;<strong>d\u00fc\u015f\u00fcnce zinciri<\/strong>&#8221; ad\u0131 verilen bir teknik sayesinde \u00fcretken bir \u015fekilde d\u00fc\u015f\u00fcnmeyi \u00f6\u011frendi\u011fini ve bu sayede daha iyi sonu\u00e7lar elde etti\u011fini vurgulad\u0131.<\/p>\n<p>Bir di\u011fer \u00c7inli yapay zeka giri\u015fimi Moonshot AI\u2019nin CEO&#8217;su Yang Zhilin, o1 modelini \u201c<strong>\u00f6nemli bir iyile\u015ftirme<\/strong>\u201d olarak nitelendirdi ve bunun yapay zeka modellerinin veri \u00fcretme s\u00fcre\u00e7lerini de\u011fi\u015ftirdi\u011fini s\u00f6yledi. Bu tip d\u00fc\u015f\u00fcnce zinciri teknikleri ile \u00e7ok fazla hesaplama g\u00fcc\u00fc kullan\u0131lmadan iyi sonu\u00e7lar \u00fcretilebilece\u011fi belirtiliyor. \u00d6zellikle ABD k\u0131s\u0131tlamalar\u0131 alt\u0131ndaki <strong>\u00c7in i\u00e7in \u201cd\u00fc\u015f\u00fcnce zinciri\u201d \u00e7ok faydal\u0131 olabilir<\/strong>.<\/p>\n<p><b>\u00c7in\u2019in g\u00fc\u00e7l\u00fc oldu\u011fu yapay zekalar da var<\/b><\/p>\n<figure> <span> <img decoding=\"async\" src=\"https:\/\/kamucalisani.net\/wp-content\/uploads\/2024\/10\/cin-yapay-zekada-abdnin-bir-yil-gerisinde-ama-fark-onemli-1-IS1Sc4KY.jpg\"\/> <\/span> Her ne kadar metin modellerinde ABD\u2019nin gerisinde kalsa da, \u00c7in\u2019in yapay zeka teknolojisinin di\u011fer alanlar\u0131nda \u00f6ne \u00e7\u0131kt\u0131\u011f\u0131 g\u00f6r\u00fcl\u00fcyor. \u00d6zellikle, kullan\u0131c\u0131 cihaz\u0131nda yerel olarak g\u00f6revleri ger\u00e7ekle\u015ftiren modeller olan \u201cedge AI\u201d alan\u0131nda \u00c7in ile ABD aras\u0131nda b\u00fcy\u00fck bir fark olmad\u0131\u011f\u0131 belirtiliyor. Ayr\u0131ca, metinden videoya \u00fcretim teknolojilerinde \u00c7in\u2019in h\u0131zl\u0131 bir \u015fekilde ilerledi\u011fi ve \u015fu anda bu alanda lider oldu\u011fu ifade ediliyor. Video konusunda \u00c7in\u2019in g\u00fcc\u00fc devasa bir kullan\u0131c\u0131 verisi havuzuna sahip olmas\u0131. \u00d6rne\u011fin Kling AI yapay zekas\u0131 video konusunda bu avantaj\u0131 \u00e7ok iyi kullan\u0131yor. <\/figure>\n<\/p>\n<p>Kaynak\u00a0 :\u00a0<span style=\"background-color: rgb(255, 249, 236); color: rgb(55, 58, 60); font-size: 14px;\">https:\/\/www.donanimhaber.com\/cin-yapay-zekada-abd-nin-bir-yil-gerisinde-ama-fark-onemli&#8211;182490<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Uzmanlara g\u00f6re ABD, b\u00fcy\u00fck dil modellerinde (LLM- Large Language Model) \u00c7in&#8217;in yakla\u015f\u0131k bir y\u0131l \u00f6n\u00fcnde bulunuyor. Uzmanlar, OpenAI\u2019nin en son duyurdu\u011fu o1 modelinin ard\u0131ndan \u00c7in\u2019in bu alanda daha fazla yol kat etmesi gerekti\u011fini vurguluyor. \u00c7in\u2019in &#8230;<\/p>\n","protected":false},"author":1,"featured_media":98992,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[431,453,160,1823,571],"class_list":["post-98991","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-teknoloji","tag-abd","tag-cin","tag-modelin","tag-modelleri","tag-yapay-zeka"],"_links":{"self":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/98991","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/comments?post=98991"}],"version-history":[{"count":1,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/98991\/revisions"}],"predecessor-version":[{"id":98995,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/posts\/98991\/revisions\/98995"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media\/98992"}],"wp:attachment":[{"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/media?parent=98991"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/categories?post=98991"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kamucalisani.net\/index.php\/wp-json\/wp\/v2\/tags?post=98991"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}