Yapay zeka d\u00fcnyas\u0131nda Apple’\u0131n son d\u00f6nemdeki at\u0131l\u0131m\u0131, dil modellerinin h\u0131z\u0131n\u0131 ve verimlili\u011fini \u00e7arp\u0131c\u0131 bi\u00e7imde art\u0131racak yeni bir \u00e7er\u00e7eveyle dikkat \u00e7ekiyor. Temmuz 2025’te yay\u0131mlanan ve “Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential” ba\u015fl\u0131\u011f\u0131n\u0131 ta\u015f\u0131yan ara\u015ft\u0131rma, geleneksel dil modelleme paradigmas\u0131n\u0131 k\u00f6kten de\u011fi\u015ftiren bir y\u00f6ntem sunuyor.<\/p>\n
Geleneksel b\u00fcy\u00fck dil modelleri (LLM), metin \u00fcretirken kelimeleri tek tek, s\u0131rayla tahmin eder. Bu y\u00f6ntem, \u00fcretim s\u00fcreci boyunca hesaplamalar\u0131 ard\u0131\u015f\u0131k \u015fekilde ger\u00e7ekle\u015ftirir ve ciddi bir h\u0131z s\u0131n\u0131r\u0131 olu\u015fturur. Apple’\u0131n geli\u015ftirdi\u011fi \u00e7oklu token tahmin tekni\u011fi ise, modeli birden fazla kelimeyi ayn\u0131 anda \u00f6ng\u00f6rmeye y\u00f6nlendiriyor. \u00d6rne\u011fin, “Kedi \u00e7ok\u00a0<MASK1>\u00a0ve\u00a0<MASK2>” ifadesine model, “sevimli t\u00fcyl\u00fc” gibi iki kelimeyi birden, tek ad\u0131mda tahmin edebiliyor.<\/p>\n
Bu \u00e7er\u00e7eve, modelin gelecek kelimeleri ne olaca\u011f\u0131n\u0131 \u00f6ng\u00f6rebilmesinin gizli potansiyelini a\u00e7\u0131\u011fa \u00e7\u0131kar\u0131yor. Tahmin edilen tokenlar \u00f6zel “maske” simgeleri ile i\u015faretleniyor ve her tahmin, modelin standart y\u00f6ntemlerle do\u011frulanmas\u0131yla kontrol ediliyor. Do\u011frulanamayan bir tahmin olursa model, klasik y\u00f6nteme geri d\u00f6n\u00fcyor ve do\u011frulu\u011fu garanti alt\u0131na al\u0131yor.<\/p>\n
Apple, a\u00e7\u0131k kaynakl\u0131 Tulu3-8B modelini kullanarak yapt\u0131\u011f\u0131 testlerde ortalama 2-3 kat, \u00f6zellikle kod yazma ve matematiksel i\u015flem gibi alanlarda ise 5 kata kadar h\u0131z art\u0131\u015f\u0131 elde etti. Bu ba\u015far\u0131, “gated LoRA adaptation” adl\u0131 \u00f6zel bir entegrasyon ile sa\u011fland\u0131; bu sayede mevcut modelin i\u015flevselli\u011fi bozulmadan, \u00e7oklu token tahmini yap\u0131labiliyor. Ara\u015ft\u0131rmac\u0131lar, bu h\u0131zlanman\u0131n \u00fcretim kalitesinde hi\u00e7bir azalma yaratmad\u0131\u011f\u0131n\u0131 vurguluyor.<\/p>\n
Apple\u2019\u0131n inovasyonu, dil modellerinin asl\u0131nda s\u0131radaki tek bir kelimeden fazlas\u0131n\u0131 tahmin etme kapasitesine sahip oldu\u011funa dayan\u0131yor ve bu potansiyeli \u015fu tekniklerle maksimuma \u00e7\u0131kar\u0131yor:<\/p>\n
Maskeli giri\u015f form\u00fclasyonu ile birden fazla token\u0131n ortak tahmini,<\/p>\n<\/li>\n
Gated LoRA mod\u00fclleri sayesinde \u00f6nceden e\u011fitilmi\u015f model davran\u0131\u015f\u0131n\u0131n korunmas\u0131,<\/p>\n<\/li>\n
Hafif sampler mod\u00fcl\u00fcyle tutarl\u0131 dizi \u00fcretimi,<\/p>\n<\/li>\n
Yard\u0131mc\u0131 kay\u0131plar ve ek e\u011fitim stratejileri ile do\u011fruluk art\u0131r\u0131m\u0131.<\/p>\n<\/li>\n<\/ul>\n
Model, e\u011fitim a\u015famas\u0131nda bir kerede sekiz kadar ek token tahmini ger\u00e7ekle\u015ftirebilecek \u015fekilde optimize ediliyor.<\/p>\n
Apple\u2019\u0131n bu \u00e7al\u0131\u015fmas\u0131, \u015firketin AI alan\u0131nda liderli\u011fi tekrar ele almak i\u00e7in g\u00f6sterdi\u011fi g\u00fc\u00e7l\u00fc vizyonun bir par\u00e7as\u0131. On-device (cihaz \u00fczerinde) ve Private Cloud Compute \u00e7\u00f6z\u00fcmleri, gizlilikten \u00f6d\u00fcn vermeden g\u00fc\u00e7l\u00fc yapay zeka uygulamalar\u0131n\u0131 m\u00fcmk\u00fcn k\u0131lmay\u0131 hedefliyor. Yeni teknik, \u00f6zellikle Apple Intelligence gibi cihaz \u00fczerinde \u00e7al\u0131\u015fan ak\u0131ll\u0131 hizmetlerin daha h\u0131zl\u0131 ve geli\u015fmi\u015f olmas\u0131n\u0131 sa\u011flayacak; \u00fcstelik ek donan\u0131m ihtiyac\u0131 olmadan.<\/p>\n
Apple\u2019\u0131n \u00e7oklu token tahmin \u00e7er\u00e7evesi, arXiv\u2019de yay\u0131mlanan ara\u015ft\u0131rmayla birlikte kamuoyuna sunuldu ve \u015firketin temel AI bilimine yat\u0131r\u0131m yapmaya ne kadar \u00f6nem verdi\u011fini bir kez daha ortaya koydu.<\/p>\n","protected":false},"excerpt":{"rendered":"
Apple’\u0131n \u00c7oklu Token Tahmin \u00c7er\u00e7evesi: Yapay Zekada Devrim Yapay zeka d\u00fcnyas\u0131nda Apple’\u0131n son d\u00f6nemdeki at\u0131l\u0131m\u0131, dil modellerinin h\u0131z\u0131n\u0131 ve verimlili\u011fini \u00e7arp\u0131c\u0131 bi\u00e7imde art\u0131racak yeni bir \u00e7er\u00e7eveyle dikkat \u00e7ekiyor. Temmuz 2025’te yay\u0131mlanan ve “Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential” ba\u015fl\u0131\u011f\u0131n\u0131 ta\u015f\u0131yan ara\u015ft\u0131rma, geleneksel dil modelleme paradigmas\u0131n\u0131 k\u00f6kten de\u011fi\u015ftiren bir y\u00f6ntem sunuyor. Geleneksel […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"iawp_total_views":3,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[3],"tags":[],"class_list":["post-1633","post","type-post","status-publish","format-standard","hentry","category-ai"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/tolgavural.xyz\/index.php\/wp-json\/wp\/v2\/posts\/1633","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tolgavural.xyz\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/tolgavural.xyz\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/tolgavural.xyz\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tolgavural.xyz\/index.php\/wp-json\/wp\/v2\/comments?post=1633"}],"version-history":[{"count":1,"href":"https:\/\/tolgavural.xyz\/index.php\/wp-json\/wp\/v2\/posts\/1633\/revisions"}],"predecessor-version":[{"id":1634,"href":"https:\/\/tolgavural.xyz\/index.php\/wp-json\/wp\/v2\/posts\/1633\/revisions\/1634"}],"wp:attachment":[{"href":"https:\/\/tolgavural.xyz\/index.php\/wp-json\/wp\/v2\/media?parent=1633"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/tolgavural.xyz\/index.php\/wp-json\/wp\/v2\/categories?post=1633"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/tolgavural.xyz\/index.php\/wp-json\/wp\/v2\/tags?post=1633"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}