{"id":15037,"date":"2025-03-13T08:30:15","date_gmt":"2025-03-13T05:30:15","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/"},"modified":"2025-03-13T08:30:15","modified_gmt":"2025-03-13T05:30:15","slug":"yapay-zekada-sota-modelleri-bir-genel-bakis","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/","title":{"rendered":"Yapay Zeka’da SOTA Modelleri: Bir Genel Bak\u0131\u015f"},"content":{"rendered":"

<\/p>\n

Yapay Zeka’da SOTA Modelleri: Bir Genel Bak\u0131\u015f<\/p>\n

Yapay zeka alan\u0131nda s\u00fcrekli bir geli\u015fim ve rekabet s\u00f6z konusudur. Bu rekabetin en \u00f6nemli g\u00f6stergelerinden biri de “SOTA” (State-of-the-Art) modelleridir. SOTA modelleri, belirli bir g\u00f6revde o an i\u00e7in elde edilen en iyi performans\u0131 sergileyen modelleri ifade eder. Ancak, bu “en iyi” performans, kullan\u0131lan veri setine, \u00f6l\u00e7\u00fctlere ve de\u011ferlendirme y\u00f6ntemlerine ba\u011fl\u0131 olarak de\u011fi\u015febilir. Bu nedenle, bir modelin SOTA olarak kabul edilebilmesi i\u00e7in, son derece titiz ve kapsaml\u0131 bir de\u011ferlendirmeden ge\u00e7mesi gerekir. \u00d6rne\u011fin, bir g\u00f6r\u00fcnt\u00fc tan\u0131ma modelinin SOTA olarak kabul edilebilmesi i\u00e7in, geni\u015f bir veri seti \u00fczerinde y\u00fcksek bir do\u011fruluk oran\u0131na ula\u015fmas\u0131 ve di\u011fer \u00f6nemli metriklerde de iyi performans g\u00f6stermesi gerekir.<\/p>\n

SOTA modellerinin ortaya \u00e7\u0131k\u0131\u015f\u0131,<\/strong> genellikle derin \u00f6\u011frenmedeki geli\u015fmelere, \u00f6zellikle de daha b\u00fcy\u00fck ve daha karma\u015f\u0131k sinir a\u011flar\u0131n\u0131n e\u011fitilmesine ba\u011fl\u0131d\u0131r. B\u00fcy\u00fck veri setlerinin ve g\u00fc\u00e7l\u00fc i\u015flemcilerinin yayg\u0131nla\u015fmas\u0131yla, \u00f6nceden hayal edilemeyecek kadar karma\u015f\u0131k ve b\u00fcy\u00fck modeller e\u011fitilmeye ba\u015flanm\u0131\u015ft\u0131r. Bu durum, bir\u00e7ok alanda \u00e7\u0131\u011f\u0131r a\u00e7\u0131c\u0131 geli\u015fmelere yol a\u00e7m\u0131\u015ft\u0131r. \u00d6rne\u011fin, do\u011fal dil i\u015fleme alan\u0131nda, GPT-3 gibi b\u00fcy\u00fck dil modelleri, insan benzeri metinler \u00fcretme konusunda inan\u0131lmaz bir yetenek sergilemi\u015ftir. Benzer \u015fekilde, g\u00f6r\u00fcnt\u00fc i\u015fleme alan\u0131nda da, SOTA modelleri, nesne tan\u0131ma, g\u00f6r\u00fcnt\u00fc s\u0131n\u0131fland\u0131rma ve g\u00f6r\u00fcnt\u00fc olu\u015fturma gibi g\u00f6revlerde \u00f6nemli ba\u015far\u0131lar elde etmi\u015ftir.<\/p>\n

SOTA modellerinin uygulamalar\u0131 \u00e7ok \u00e7e\u015fitlidir.<\/strong> \u00d6rne\u011fin, t\u0131p alan\u0131nda, SOTA modelleri, hastal\u0131klar\u0131n te\u015fhisinde, tedavinin ki\u015fiselle\u015ftirilmesinde ve ila\u00e7 ke\u015ffinde kullan\u0131lmaktad\u0131r. Finans alan\u0131nda ise, sahtekarl\u0131k tespiti ve risk y\u00f6netimi gibi konularda etkin bir \u015fekilde kullan\u0131lmaktad\u0131r. Otomotiv sekt\u00f6r\u00fcnde otonom ara\u00e7lar\u0131n geli\u015ftirilmesinde, SOTA modellerinin \u00f6nemi her ge\u00e7en g\u00fcn artmaktad\u0131r. Bu \u00f6rnekler, SOTA modellerinin hayat\u0131m\u0131z\u0131n bir\u00e7ok alan\u0131n\u0131 nas\u0131l etkiledi\u011fini g\u00f6stermektedir.<\/p>\n

Ancak SOTA modellerinin baz\u0131 dezavantajlar\u0131 da vard\u0131r.<\/strong> \u00d6ncelikle, bu modellerin e\u011fitimi genellikle \u00e7ok b\u00fcy\u00fck miktarda veri ve hesaplama g\u00fcc\u00fc gerektirir. Bu durum, hem maliyetli hem de \u00e7evresel a\u00e7\u0131dan zararl\u0131 olabilir. Ayr\u0131ca, SOTA modellerinin “kara kutu” yap\u0131s\u0131, onlar\u0131n karar verme s\u00fcre\u00e7lerinin anla\u015f\u0131lmas\u0131n\u0131 zorla\u015ft\u0131rmaktad\u0131r. Bu durum, \u00f6zellikle g\u00fcvenlik ve etik konular\u0131nda endi\u015felere yol a\u00e7maktad\u0131r. Bu nedenle, SOTA modellerinin geli\u015ftirilmesi ve uygulanmas\u0131 s\u0131ras\u0131nda, hem performans hem de g\u00fcvenlik, \u015feffafl\u0131k ve etik konular g\u00f6z \u00f6n\u00fcnde bulundurulmal\u0131d\u0131r.<\/p>\n

Gelecekte SOTA modelleri,<\/strong> yapay genel zeka (AGI) \u00e7al\u0131\u015fmalar\u0131n\u0131n merkezinde yer alacakt\u0131r. Daha g\u00fc\u00e7l\u00fc ve daha yetenekli SOTA modellerinin geli\u015ftirilmesi, AGI’ya ula\u015fma yolunda \u00f6nemli bir ad\u0131m olacakt\u0131r. Ancak, bu geli\u015fmelerin etik ve sosyal etkileri de dikkatlice de\u011ferlendirilmelidir. SOTA modelleri, insanl\u0131\u011f\u0131n gelece\u011fini \u015fekillendirecek kadar g\u00fc\u00e7l\u00fcd\u00fcr, bu nedenle sorumlu bir \u015fekilde geli\u015ftirilmeleri ve kullan\u0131lmalar\u0131 \u015fartt\u0131r.<\/p>\n

Daha fazla bilgi i\u00e7in fatihsoysal.com<\/a> sitesini ziyaret edebilirsiniz.<\/p>\n

\u0130lginizi \u00e7ekebilecek bir di\u011fer kaynak: dev.to\/aniruddhaadak\/sota-models-in-ai-1lb6<\/a><\/p>\n

#Etiketler<\/h2>\n

#SOTA #YapayZeka #AI #Derin\u00d6\u011frenme #Makine\u00d6\u011frenmesi #B\u00fcy\u00fckDilModelleri #GPT #Transformers #G\u00f6r\u00fcnt\u00fc\u0130\u015fleme #Do\u011falDil\u0130\u015fleme #StateOfTheArt<\/p>\n

<\/body>
\n<\/html><\/p>\n","protected":false},"excerpt":{"rendered":"Yapay Zeka’da SOTA Modelleri: Bir Genel Bak\u0131\u015f Yapay zeka alan\u0131nda s\u00fcrekli bir geli\u015fim ve rekabet s\u00f6z konusudur. Bu…","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-15037","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"\nYapay Zeka'da SOTA Modelleri: Bir Genel Bak\u0131\u015f<\/title>\n<meta name=\"description\" content=\"Yapay zeka alan\u0131nda s\u00fcrekli bir geli\u015fim ve rekabet s\u00f6z konusudur. Bu rekabetin en \u00f6nemli g\u00f6stergelerinden biri de "SOTA" (State-of-the-Art) modelleridir. SOTA modelleri, belirli bir g\u00f6revde o an i\u00e7in elde edilen en iyi performans\u0131 sergileyen modelleri ifade eder. Ancak, bu "en iyi" performans, kullan\u0131lan veri setine, \u00f6l\u00e7\u00fctlere ve de\u011ferlendirme y\u00f6ntemlerine ba\u011fl\u0131 olarak de\u011fi\u015febilir. Bu nedenle, bir modelin SOTA olarak kabul edilebilmesi i\u00e7in, son derece titiz ve kapsaml\u0131 bir de\u011ferlendirmeden ge\u00e7mesi gerekir. \u00d6rne\u011fin, bir g\u00f6r\u00fcnt\u00fc tan\u0131ma modelinin SOTA olarak kabul edilebilmesi i\u00e7in, geni\u015f bir veri seti \u00fczerinde y\u00fcksek bir do\u011fruluk oran\u0131na ula\u015fmas\u0131 ve di\u011fer \u00f6nemli metriklerde de iyi performans g\u00f6stermesi gerekir.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Yapay Zeka'da SOTA Modelleri: Bir Genel Bak\u0131\u015f\" \/>\n<meta property=\"og:description\" content=\"Yapay zeka alan\u0131nda s\u00fcrekli bir geli\u015fim ve rekabet s\u00f6z konusudur. Bu rekabetin en \u00f6nemli g\u00f6stergelerinden biri de "SOTA" (State-of-the-Art) modelleridir. SOTA modelleri, belirli bir g\u00f6revde o an i\u00e7in elde edilen en iyi performans\u0131 sergileyen modelleri ifade eder. Ancak, bu "en iyi" performans, kullan\u0131lan veri setine, \u00f6l\u00e7\u00fctlere ve de\u011ferlendirme y\u00f6ntemlerine ba\u011fl\u0131 olarak de\u011fi\u015febilir. Bu nedenle, bir modelin SOTA olarak kabul edilebilmesi i\u00e7in, son derece titiz ve kapsaml\u0131 bir de\u011ferlendirmeden ge\u00e7mesi gerekir. \u00d6rne\u011fin, bir g\u00f6r\u00fcnt\u00fc tan\u0131ma modelinin SOTA olarak kabul edilebilmesi i\u00e7in, geni\u015f bir veri seti \u00fczerinde y\u00fcksek bir do\u011fruluk oran\u0131na ula\u015fmas\u0131 ve di\u011fer \u00f6nemli metriklerde de iyi performans g\u00f6stermesi gerekir.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2025-03-13T05:30:15+00:00\" \/>\n<meta name=\"author\" content=\"Fatih Soysal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fatih Soysal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"Yapay Zeka’da SOTA Modelleri: Bir Genel Bak\u0131\u015f\",\"datePublished\":\"2025-03-13T05:30:15+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/\"},\"wordCount\":587,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/#respond\"]}],\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/\",\"name\":\"Yapay Zeka'da SOTA Modelleri: Bir Genel Bak\u0131\u015f\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2025-03-13T05:30:15+00:00\",\"description\":\"Yapay zeka alan\u0131nda s\u00fcrekli bir geli\u015fim ve rekabet s\u00f6z konusudur. Bu rekabetin en \u00f6nemli g\u00f6stergelerinden biri de \\\"SOTA\\\" (State-of-the-Art) modelleridir. SOTA modelleri, belirli bir g\u00f6revde o an i\u00e7in elde edilen en iyi performans\u0131 sergileyen modelleri ifade eder. Ancak, bu \\\"en iyi\\\" performans, kullan\u0131lan veri setine, \u00f6l\u00e7\u00fctlere ve de\u011ferlendirme y\u00f6ntemlerine ba\u011fl\u0131 olarak de\u011fi\u015febilir. Bu nedenle, bir modelin SOTA olarak kabul edilebilmesi i\u00e7in, son derece titiz ve kapsaml\u0131 bir de\u011ferlendirmeden ge\u00e7mesi gerekir. \u00d6rne\u011fin, bir g\u00f6r\u00fcnt\u00fc tan\u0131ma modelinin SOTA olarak kabul edilebilmesi i\u00e7in, geni\u015f bir veri seti \u00fczerinde y\u00fcksek bir do\u011fruluk oran\u0131na ula\u015fmas\u0131 ve di\u011fer \u00f6nemli metriklerde de iyi performans g\u00f6stermesi gerekir.\",\"breadcrumb\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Anasayfa\",\"item\":\"https:\/\/fatihsoysal.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Yapay Zeka’da SOTA Modelleri: Bir Genel Bak\u0131\u015f\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/\",\"name\":\"Fatihsoysal.com\",\"description\":\"Blog - Yaz\u0131l\u0131m D\u00fcnyas\u0131 Tecr\u00fcbelerim\",\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/fatihsoysal.com\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"tr\"},{\"@type\":[\"Person\",\"Organization\"],\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\",\"name\":\"Fatih Soysal\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png\",\"contentUrl\":\"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png\",\"width\":512,\"height\":512,\"caption\":\"Fatih Soysal\"},\"logo\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/\"},\"description\":\"Kullan\u0131m ve kodlama m\u00fckemmeliyetini odak alan uygulamalar olu\u015fturma deneyimine sahip, profesyonel olarak 15+ y\u0131l \u00fczeri deneyime sahip bir yaz\u0131l\u0131m m\u00fchendisi.\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/author\/fatihsoysal\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Yapay Zeka'da SOTA Modelleri: Bir Genel Bak\u0131\u015f","description":"Yapay zeka alan\u0131nda s\u00fcrekli bir geli\u015fim ve rekabet s\u00f6z konusudur. Bu rekabetin en \u00f6nemli g\u00f6stergelerinden biri de \"SOTA\" (State-of-the-Art) modelleridir. SOTA modelleri, belirli bir g\u00f6revde o an i\u00e7in elde edilen en iyi performans\u0131 sergileyen modelleri ifade eder. Ancak, bu \"en iyi\" performans, kullan\u0131lan veri setine, \u00f6l\u00e7\u00fctlere ve de\u011ferlendirme y\u00f6ntemlerine ba\u011fl\u0131 olarak de\u011fi\u015febilir. Bu nedenle, bir modelin SOTA olarak kabul edilebilmesi i\u00e7in, son derece titiz ve kapsaml\u0131 bir de\u011ferlendirmeden ge\u00e7mesi gerekir. \u00d6rne\u011fin, bir g\u00f6r\u00fcnt\u00fc tan\u0131ma modelinin SOTA olarak kabul edilebilmesi i\u00e7in, geni\u015f bir veri seti \u00fczerinde y\u00fcksek bir do\u011fruluk oran\u0131na ula\u015fmas\u0131 ve di\u011fer \u00f6nemli metriklerde de iyi performans g\u00f6stermesi gerekir.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/","og_locale":"tr_TR","og_type":"article","og_title":"Yapay Zeka'da SOTA Modelleri: Bir Genel Bak\u0131\u015f","og_description":"Yapay zeka alan\u0131nda s\u00fcrekli bir geli\u015fim ve rekabet s\u00f6z konusudur. Bu rekabetin en \u00f6nemli g\u00f6stergelerinden biri de \"SOTA\" (State-of-the-Art) modelleridir. SOTA modelleri, belirli bir g\u00f6revde o an i\u00e7in elde edilen en iyi performans\u0131 sergileyen modelleri ifade eder. Ancak, bu \"en iyi\" performans, kullan\u0131lan veri setine, \u00f6l\u00e7\u00fctlere ve de\u011ferlendirme y\u00f6ntemlerine ba\u011fl\u0131 olarak de\u011fi\u015febilir. Bu nedenle, bir modelin SOTA olarak kabul edilebilmesi i\u00e7in, son derece titiz ve kapsaml\u0131 bir de\u011ferlendirmeden ge\u00e7mesi gerekir. \u00d6rne\u011fin, bir g\u00f6r\u00fcnt\u00fc tan\u0131ma modelinin SOTA olarak kabul edilebilmesi i\u00e7in, geni\u015f bir veri seti \u00fczerinde y\u00fcksek bir do\u011fruluk oran\u0131na ula\u015fmas\u0131 ve di\u011fer \u00f6nemli metriklerde de iyi performans g\u00f6stermesi gerekir.","og_url":"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/","og_site_name":"Kodlar\u0131n Gizemli D\u00fcnyas\u0131","article_published_time":"2025-03-13T05:30:15+00:00","author":"Fatih Soysal","twitter_card":"summary_large_image","twitter_misc":{"Yazan:":"Fatih Soysal","Tahmini okuma s\u00fcresi":"3 dakika"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/#article","isPartOf":{"@id":"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/"},"author":{"name":"Fatih Soysal","@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"headline":"Yapay Zeka’da SOTA Modelleri: Bir Genel Bak\u0131\u015f","datePublished":"2025-03-13T05:30:15+00:00","mainEntityOfPage":{"@id":"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/"},"wordCount":587,"commentCount":0,"publisher":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"inLanguage":"tr","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/#respond"]}],"copyrightYear":"2025","copyrightHolder":{"@id":"https:\/\/fatihsoysal.com\/blog\/#organization"}},{"@type":"WebPage","@id":"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/","url":"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/","name":"Yapay Zeka'da SOTA Modelleri: Bir Genel Bak\u0131\u015f","isPartOf":{"@id":"https:\/\/fatihsoysal.com\/blog\/#website"},"datePublished":"2025-03-13T05:30:15+00:00","description":"Yapay zeka alan\u0131nda s\u00fcrekli bir geli\u015fim ve rekabet s\u00f6z konusudur. Bu rekabetin en \u00f6nemli g\u00f6stergelerinden biri de \"SOTA\" (State-of-the-Art) modelleridir. SOTA modelleri, belirli bir g\u00f6revde o an i\u00e7in elde edilen en iyi performans\u0131 sergileyen modelleri ifade eder. Ancak, bu \"en iyi\" performans, kullan\u0131lan veri setine, \u00f6l\u00e7\u00fctlere ve de\u011ferlendirme y\u00f6ntemlerine ba\u011fl\u0131 olarak de\u011fi\u015febilir. Bu nedenle, bir modelin SOTA olarak kabul edilebilmesi i\u00e7in, son derece titiz ve kapsaml\u0131 bir de\u011ferlendirmeden ge\u00e7mesi gerekir. \u00d6rne\u011fin, bir g\u00f6r\u00fcnt\u00fc tan\u0131ma modelinin SOTA olarak kabul edilebilmesi i\u00e7in, geni\u015f bir veri seti \u00fczerinde y\u00fcksek bir do\u011fruluk oran\u0131na ula\u015fmas\u0131 ve di\u011fer \u00f6nemli metriklerde de iyi performans g\u00f6stermesi gerekir.","breadcrumb":{"@id":"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/#breadcrumb"},"inLanguage":"tr","potentialAction":[{"@type":"ReadAction","target":["https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/fatihsoysal.com\/blog\/yapay-zekada-sota-modelleri-bir-genel-bakis\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Anasayfa","item":"https:\/\/fatihsoysal.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Yapay Zeka’da SOTA Modelleri: Bir Genel Bak\u0131\u015f"}]},{"@type":"WebSite","@id":"https:\/\/fatihsoysal.com\/blog\/#website","url":"https:\/\/fatihsoysal.com\/blog\/","name":"Fatihsoysal.com","description":"Blog - Yaz\u0131l\u0131m D\u00fcnyas\u0131 Tecr\u00fcbelerim","publisher":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/fatihsoysal.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"tr"},{"@type":["Person","Organization"],"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1","name":"Fatih Soysal","image":{"@type":"ImageObject","inLanguage":"tr","@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png","contentUrl":"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png","width":512,"height":512,"caption":"Fatih Soysal"},"logo":{"@id":"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/"},"description":"Kullan\u0131m ve kodlama m\u00fckemmeliyetini odak alan uygulamalar olu\u015fturma deneyimine sahip, profesyonel olarak 15+ y\u0131l \u00fczeri deneyime sahip bir yaz\u0131l\u0131m m\u00fchendisi.","url":"https:\/\/fatihsoysal.com\/blog\/author\/fatihsoysal\/"}]}},"yoast_meta":{"yoast_wpseo_title":"","yoast_wpseo_metadesc":"","yoast_wpseo_canonical":""},"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts\/15037","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/comments?post=15037"}],"version-history":[{"count":0,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/posts\/15037\/revisions"}],"wp:attachment":[{"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/media?parent=15037"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/categories?post=15037"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fatihsoysal.com\/blog\/wp-json\/wp\/v2\/tags?post=15037"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}