{"id":2580,"date":"2024-02-17T09:34:01","date_gmt":"2024-02-17T06:34:01","guid":{"rendered":"https:\/\/kreablog.com\/metanin-video-ile-ogrenen-yapay-zekasi-v-jepa\/"},"modified":"2025-04-14T12:51:56","modified_gmt":"2025-04-14T09:51:56","slug":"metanin-video-ile-ogrenen-yapay-zekasi-v-jepa","status":"publish","type":"post","link":"https:\/\/kreablog.com\/tr\/metanin-video-ile-ogrenen-yapay-zekasi-v-jepa\/","title":{"rendered":"Meta\u2019n\u0131n Video ile \u00d6\u011frenen Yapay Zek\u00e2s\u0131 \u201cV-JEPA\u201d"},"content":{"rendered":"\t\t
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Ge\u00e7ti\u011fimiz g\u00fcnlerde Meta’n\u0131n yapay zek\u00e2 yar\u0131\u015f\u0131na<\/span><\/a> dahil oldu\u011funu duyurmu\u015ftuk. Meta h\u0131zl\u0131 bir ba\u015flang\u0131\u00e7 yapt\u0131 ve yeni geli\u015fmesi olan V-JEPA’y\u0131 a\u00e7\u0131klad\u0131. V-JEPA\u2019y\u0131 bizlere Yann LeCun tan\u0131tt\u0131. Yann LeCun, Meta \u015firketinin ba\u015f yapay zek\u00e2 bilimcisi. Bu model, videolar\u0131 izleyerek \u00f6\u011freniyor. Ayr\u0131ca nesneler aras\u0131ndaki detayl\u0131 etkile\u015fimleri tespit edip anlayarak karma\u015f\u0131k g\u00f6revlerde \u00fcst\u00fcn performans sergilemeyi ama\u00e7l\u0131yor. V-JEPA’n\u0131n video g\u00f6r\u00fcnt\u00fclerindeki bo\u015fluklar\u0131 doldurarak e\u011fitilmesiyle, yapay genel zek\u00e2 hedefine do\u011fru bir ad\u0131m at\u0131lmas\u0131 ama\u00e7lan\u0131yor. Meta ara\u015ft\u0131rmac\u0131lar\u0131, V-JEPA’n\u0131n nesneler aras\u0131ndaki detayl\u0131 etkile\u015fimleri tespit etme ve anlama konusunda m\u00fckemmel oldu\u011funu belirtiyorlar. Bu model, mevcut yapay zek\u00e2<\/span><\/strong><\/a> modellerinin yaln\u0131zca yaz\u0131l\u0131 metinlerden \u00f6\u011frenmesinin ilerlemeyi \u00f6nl\u00fcyor olabilece\u011fi d\u00fc\u015f\u00fcncesini destekliyor.<\/p>

LeCun, mevcut yapay zek\u00e2 modellerinin sadece yaz\u0131l\u0131 metinlerden \u00f6\u011frenmesinin ilerlemeyi yava\u015flatt\u0131\u011f\u0131n\u0131 s\u00f6yl\u00fcyor. \u00dcstelik video gibi daha zengin veri kaynaklar\u0131n\u0131n kullan\u0131lmas\u0131n\u0131n \u00f6nemli bir ad\u0131m olaca\u011f\u0131n\u0131 savunuyor. LeCun’a g\u00f6re, hedeflerinden biri insanlar gibi \u00f6\u011frenebilen programlar\u0131. Ayr\u0131ca uyum sa\u011flayabilen ve karma\u015f\u0131k g\u00f6revleri tamamlayabilen geli\u015fmi\u015f bir makine zek\u00e2s\u0131 in\u015fa etmek.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Metin Yerine Videodan \u00d6\u011frenen Yapay Zek\u00e2 \u201cV-JEPA\u201d<\/strong><\/h2>

Kaynaklar, V-JEPA’n\u0131n \u00fcretimsel bir model olmad\u0131\u011f\u0131n\u0131 belirtiliyor. Ayr\u0131ca bu modelin video maskeleme kullan\u0131larak yap\u0131lan \u00f6n e\u011fitimden sonra daha iyi olaca\u011f\u0131 s\u00f6yleniyor. \u00c7\u00fcnk\u00fc V-JEPA’n\u0131n nesneler aras\u0131ndaki ayr\u0131nt\u0131l\u0131 etkile\u015fimleri tespit etme ve anlama konusunda ba\u015far\u0131l\u0131 oldu\u011funu vurguluyorlar. V-JEPA’n\u0131n gelecek modeller i\u00e7in \u00f6rnek olu\u015fturabilece\u011fi ve yapay zek\u00e2 alan\u0131nda eri\u015fimin geni\u015flemesine katk\u0131 sa\u011flayabilece\u011fi belirtiliyor. LeCun’a g\u00f6re, mevcut yapay zek\u00e2 ekosisteminde modellerin e\u011fitimi b\u00fcy\u00fck zaman ve hesaplama g\u00fcc\u00fc gerektiriyor. Ancak, yeni modelin ba\u015far\u0131l\u0131 olmas\u0131 durumunda yapay zek\u00e2 ekosisteminde \u00f6nemli sonu\u00e7lar elde edilebilece\u011fi d\u00fc\u015f\u00fcn\u00fcl\u00fcyor.<\/p>

V-JEPA’n\u0131n gelecekte videoya ses eklenmesiyle modele yepyeni bir veri boyutu sa\u011flanacak. Meta, V-JEPA modelini ticari olmayan lisans\u0131 Creative Commons alt\u0131nda yay\u0131nlad\u0131, b\u00f6ylece ara\u015ft\u0131rmac\u0131lar bu modeli deneyebilecekler. Bu model, insanlar gibi \u00f6\u011frenme yetene\u011fine sahip geli\u015fmi\u015f bir makine zek\u00e2s\u0131 in\u015fa etme hedefine do\u011fru at\u0131lm\u0131\u015f \u00f6nemli bir ad\u0131m olarak de\u011ferlendiriliyor. V-JEPA’n\u0131n insanlar\u0131n ya\u015fam\u0131n\u0131n ilk evrelerinde g\u00f6zlem yoluyla elde etti\u011fi bilgileri sim\u00fcle etti\u011fi ve bu bilgileri kullanarak \u00e7evresel d\u00fcnya hakk\u0131nda \u00f6ng\u00f6r\u00fclerde bulundu\u011fu belirtiliyor. Ayr\u0131ca, V-JEPA’n\u0131n videodan temsilleri \u00f6\u011frenerek \u00e7e\u015fitli a\u015fa\u011f\u0131 ak\u0131\u015f g\u00f6r\u00fcnt\u00fc ve video g\u00f6revlerine uygulanabilir bir yakla\u015f\u0131m benimsedi\u011fi ve bu sayede etiketsiz verilerle \u00f6nceden e\u011fitilmi\u015f oldu\u011fu kaydediliyor.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Meta ve Yapay Zek\u00e2 V-JEPA<\/strong><\/h3>\n

Meta’n\u0131n FAIR<\/a><\/span> (temel yapay zek\u00e2 ara\u015ft\u0131rmas\u0131) grubunu y\u00f6neten Yann LeCun, V-JEPA’n\u0131n, yapay zek\u00e2 modellerinin ayn\u0131 maskeleme tekni\u011fini video g\u00f6r\u00fcnt\u00fcleri \u00fczerinde kullanmalar\u0131 halinde daha h\u0131zl\u0131 \u00f6\u011frenebileceklerini \u00f6ne s\u00fcr\u00fcyor. LeCun, \u015firketin amac\u0131n\u0131n, insanlar gibi \u00f6\u011frenebilen geli\u015fmi\u015f makine zek\u00e2s\u0131 olu\u015fturmak oldu\u011funu dile getiriyor.<\/p>\n

V-JEPA’n\u0131n video g\u00f6r\u00fcnt\u00fclerinden \u00f6\u011frenerek karma\u015f\u0131k g\u00f6revlerde \u00fcst\u00fcn performans sergileme yetene\u011fi, gelecekteki yapay zek\u00e2 ara\u015ft\u0131rmalar\u0131 i\u00e7in umut verici bir alan\u0131 temsil ediyor. Bu modelin, g\u00f6rsel ve i\u015fitsel verileri bir araya getirerek daha geni\u015f bir veri yelpazesinden \u00f6\u011frenme yetene\u011fi geli\u015ftirilerek gelecek nesil yapay zek\u00e2 modellerine ilham kayna\u011f\u0131 olmas\u0131 bekleniyor.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"V-JEPA,\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"V-JEPA,\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\"V-JEPA,\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

Ge\u00e7ti\u011fimiz g\u00fcnlerde Meta’n\u0131n yapay zek\u00e2 yar\u0131\u015f\u0131na dahil oldu\u011funu duyurmu\u015ftuk. Meta h\u0131zl\u0131 bir ba\u015flang\u0131\u00e7 yapt\u0131 ve yeni geli\u015fmesi olan V-JEPA’y\u0131 a\u00e7\u0131klad\u0131. V-JEPA\u2019y\u0131 bizlere Yann LeCun tan\u0131tt\u0131. Yann LeCun, Meta \u015firketinin ba\u015f yapay zek\u00e2 bilimcisi. Bu model, videolar\u0131 izleyerek \u00f6\u011freniyor. Ayr\u0131ca nesneler aras\u0131ndaki detayl\u0131 etkile\u015fimleri tespit edip anlayarak karma\u015f\u0131k g\u00f6revlerde \u00fcst\u00fcn performans sergilemeyi ama\u00e7l\u0131yor. V-JEPA’n\u0131n video g\u00f6r\u00fcnt\u00fclerindeki […]<\/p>\n","protected":false},"author":2,"featured_media":2573,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_aioseo_title":"","_aioseo_description":"","_aioseo_keyphrases":"","_video_image1":"","_video_image2":"","jnews-multi-image_gallery":[],"jnews_single_post":{"format":"standard"},"jnews_primary_category":[],"jnews_override_counter":[],"footnotes":""},"categories":[108],"tags":[],"class_list":["post-2580","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-yapay-zeka"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/kreablog.com\/tr\/wp-json\/wp\/v2\/posts\/2580","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/kreablog.com\/tr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/kreablog.com\/tr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/kreablog.com\/tr\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/kreablog.com\/tr\/wp-json\/wp\/v2\/comments?post=2580"}],"version-history":[{"count":4,"href":"https:\/\/kreablog.com\/tr\/wp-json\/wp\/v2\/posts\/2580\/revisions"}],"predecessor-version":[{"id":10440,"href":"https:\/\/kreablog.com\/tr\/wp-json\/wp\/v2\/posts\/2580\/revisions\/10440"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/kreablog.com\/tr\/wp-json\/wp\/v2\/media\/2573"}],"wp:attachment":[{"href":"https:\/\/kreablog.com\/tr\/wp-json\/wp\/v2\/media?parent=2580"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/kreablog.com\/tr\/wp-json\/wp\/v2\/categories?post=2580"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/kreablog.com\/tr\/wp-json\/wp\/v2\/tags?post=2580"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}