{"id":911,"date":"2026-08-11T12:30:59","date_gmt":"2026-08-11T12:30:59","guid":{"rendered":"https:\/\/sonix.ai\/ai\/?p=911"},"modified":"2026-08-11T19:59:34","modified_gmt":"2026-08-11T19:59:34","slug":"gpt-neox-vs-gpt5","status":"publish","type":"post","link":"https:\/\/sonix.ai\/ai\/tr\/gpt-neox-ile-gpt-5-karsilastirmasi\/","title":{"rendered":"GPT-NeoX ve GPT-5: Hangisi Domain\u2019ye \u00f6zg\u00fc jargona daha iyi uyum sa\u011fl\u0131yor?"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Hi\u00e7 bir t\u0131bbi muayene kayd\u0131n\u0131 transkripsiyona ge\u00e7irirken, uzmanl\u0131k terimlerinin tamamen alakas\u0131z kelimeler olarak geri geldi\u011fini g\u00f6rd\u00fcn\u00fcz m\u00fc? T\u0131p alan\u0131na \u00f6zg\u00fc jargon, otomatik transkripsiyon ve dil i\u015fleme s\u00fcre\u00e7lerinin en zorlu k\u0131s\u0131mlar\u0131ndan biridir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ancak GPT-NeoX ile GPT-5\u2019i kar\u015f\u0131la\u015ft\u0131r\u0131rken \u00f6nemli bir ayr\u0131m\u0131 g\u00f6z \u00f6n\u00fcnde bulundurmak gerekir: Ne GPT-NeoX-20B ne de standart GPT-5 API modeli, kendi ba\u015f\u0131na bir konu\u015fma-metin d\u00f6n\u00fc\u015ft\u00fcrme modelidir. GPT-NeoX-20B, otoregresif bir dil modelidir; OpenAI\u2019nin GPT-5 API modeli ise metin ve g\u00f6r\u00fcnt\u00fc giri\u015fini destekler, ancak ses giri\u015fini desteklemez. Bu nedenle, bir transkripsiyon i\u015f ak\u0131\u015f\u0131nda bu modeller, konu\u015fman\u0131n metne d\u00f6n\u00fc\u015ft\u00fcr\u00fcld\u00fckten sonra ger\u00e7ekle\u015fen i\u015flemler i\u00e7in daha \u00f6nemlidir: terminolojiyi d\u00fczeltme, ba\u011flam\u0131 yorumlama, kelime da\u011farc\u0131\u011f\u0131n\u0131 standartla\u015ft\u0131rma, transkriptleri \u00f6zetleme, bilgiyi \u00e7\u0131karma ve uzmanl\u0131k gerektiren i\u00e7eri\u011fi d\u00f6n\u00fc\u015ft\u00fcrme.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Peki hangisi t\u0131bbi terminolojiye, hukuki dile, bilimsel kelime da\u011farc\u0131\u011f\u0131na, \u00fcr\u00fcn adlar\u0131na, k\u0131saltmalara ve di\u011fer uzmanl\u0131k terimlerine daha iyi uyum sa\u011flar?<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Cevap, \u201cuyum sa\u011flamak\u201d derken neyi kastetti\u011finize ba\u011fl\u0131d\u0131r.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-5, ekiplerin kendi modellerini train etmelerine gerek kalmadan, kullan\u0131ma haz\u0131r olarak daha g\u00fc\u00e7l\u00fc ak\u0131l y\u00fcr\u00fctme, komut olu\u015fturma ve ba\u011flamsal uyum \u00f6zellikleri sunar. GPT-NeoX, a\u011f\u0131rl\u0131klara eri\u015fim ve \u00f6zel alan verileri \u00fczerinde model geli\u015ftirme veya ince ayar yapma yetene\u011fi dahil olmak \u00fczere, temel model \u00fczerinde \u00e7ok daha fazla kontrol sa\u011flar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bununla birlikte, pratik transkripsiyon i\u015f ak\u0131\u015flar\u0131 olu\u015fturan \u00e7o\u011fu ekip i\u00e7in, bu iki yakla\u015f\u0131m da \u00f6zel s\u00f6zl\u00fckler gibi yerel konu\u015fma tan\u0131ma \u00f6zelliklerine sahip bir transkripsiyon platformunun yerini tutmamaktad\u0131r.<\/span><a href=\"https:\/\/sonix.ai\/features\/automated-transcription\"> <span style=\"font-weight: 400;\">Sonix\u2019in otomatik transkripsiyonu<\/span><\/a><span style=\"font-weight: 400;\">, \u00f6rne\u011fin, LLM\u2019nin bitmi\u015f metni g\u00f6rene kadar wai i\u015flemini uygulamak yerine, as\u0131l transkripsiyon s\u00fcrecinde \u00f6zel bir kelime da\u011farc\u0131\u011f\u0131 kullan\u0131r.<\/span><\/p>\n<h2><b>\u00d6nemli \u00c7\u0131kar\u0131mlar<\/b><\/h2>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">GPT-NeoX ve GPT-5, dil modelleridir; \u00f6zel konu\u015fma-metin d\u00f6n\u00fc\u015ft\u00fcrme sistemlerinin do\u011frudan ikameleri de\u011fildir<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">GPT-5, talimatlar, \u00f6rnekler, ba\u011flam ve mant\u0131k yoluyla al\u0131\u015f\u0131lmad\u0131k teknik terimlere uyum sa\u011flama konusunda genel olarak daha elveri\u015flidir<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">GPT-NeoX, kodunun ve model a\u011f\u0131rl\u0131klar\u0131n\u0131n a\u00e7\u0131k bir \u015fekilde eri\u015filebilir olmas\u0131 ve bu kodun ve a\u011f\u0131rl\u0131klar\u0131n de\u011fi\u015ftirilebilmesi veya ince ayar yap\u0131labilmesi nedeniyle model d\u00fczeyinde daha fazla kontrol imkan\u0131 sunar<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">GPT-5 \u015fu anda OpenAI API \u00fczerinden ince ayarlamay\u0131 desteklemedi\u011finden, domain uyarlamas\u0131 esas olarak komut, ba\u011flam, bilgi alma ve uygulama d\u00fczeyindeki i\u015f ak\u0131\u015flar\u0131na dayanmaktad\u0131r<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">GPT-NeoX, \u00f6zel veri k\u00fcmeleri \u00fczerinde trained veya ince ayar yap\u0131labilir; bu da onu, \u00f6zel bir model \u00fczerinde tam kontrol sahibi olmak isteyen kurulu\u015flar i\u00e7in cazip k\u0131lar<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">GPT-5\u2019in 400.000 tokenl\u0131k ba\u011flam penceresi, bir istekte kapsaml\u0131 s\u00f6zl\u00fckler, referans belgeler, \u00f6rnekler ve domain ba\u011flam\u0131 sunulmas\u0131n\u0131 m\u00fcmk\u00fcn k\u0131lar<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Her iki model de, bir transkripsiyon sisteminde birincil konu\u015fma tan\u0131ma katman\u0131 olarak de\u011ferlendirilmemelidir<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ses kayd\u0131ndan do\u011fru bir \u015fekilde tan\u0131nmas\u0131 gereken terimler i\u00e7in, a\u015fa\u011f\u0131dakiler gibi yerel transkripsiyon \u00f6zellikleri: <\/span><a href=\"https:\/\/sonix.ai\/features\"><span style=\"font-weight: 400;\">\u00f6zel s\u00f6zl\u00fckler<\/span><\/a><span style=\"font-weight: 400;\"> sorunu i\u015f ak\u0131\u015f\u0131n\u0131n daha erken bir a\u015famas\u0131nda \u00e7\u00f6zebilir<\/span><\/li>\n<\/ul>\n<h2><b>GPT-NeoX ve GPT-5 Nedir?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Adlar\u0131 birbirine benziyor olsa da, GPT-NeoX ve GPT-5 \u00e7ok farkl\u0131 geli\u015ftirme ve devreye alma modellerinden kaynaklanmaktad\u0131r.<\/span><\/p>\n<h3><b>GPT-NeoX<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">GPT-NeoX, EleutherAI\u2019nin b\u00fcy\u00fck \u00f6l\u00e7ekli otoregresif dil modellerini e\u011fitmeye y\u00f6nelik \u00e7er\u00e7evesidir. Bu \u00e7er\u00e7eveyle ili\u015fkili en tan\u0131nm\u0131\u015f model \u015fudur: <\/span><b>GPT-NeoX-20B<\/b><span style=\"font-weight: 400;\">, The Pile \u00fczerinde e\u011fitilmi\u015f 20 milyar parametreli bir model.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">EleutherAI, model a\u011f\u0131rl\u0131klar\u0131n\u0131, e\u011fitim ve de\u011ferlendirme kodlar\u0131yla birlikte yay\u0131nlad\u0131. GPT-NeoX \u00e7er\u00e7evesi, da\u011f\u0131t\u0131k e\u011fitimi, \u00f6zel veri k\u00fcmelerini, e\u011fitim ve ince ayarlamay\u0131 ve Hugging Face Transformers gibi ara\u00e7larla birlikte \u00e7al\u0131\u015fabilirli\u011fi desteklemektedir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu a\u00e7\u0131kl\u0131k, GPT-NeoX\u2019in domain uyarlamas\u0131 a\u00e7\u0131s\u0131ndan en b\u00fcy\u00fck avantaj\u0131d\u0131r. Altyap\u0131ya ve makine \u00f6\u011frenimi uzmanl\u0131\u011f\u0131na sahip bir kurulu\u015f, t\u0131p, hukuk, m\u00fchendislik, finans veya bilimsel ara\u015ft\u0131rma gibi alanlardan elde edilen \u00f6zel materyalleri kullanarak bir modeli training yapmaya veya ince ayarlamaya devam edebilir.<\/span><\/p>\n<h3><b>GPT-5<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">GPT-5, indirilebilir model a\u011f\u0131rl\u0131klar\u0131 \u015feklinde de\u011fil, OpenAI\u2019nin bar\u0131nd\u0131rma platformu \u00fczerinden sunulan bir OpenAI ak\u0131l y\u00fcr\u00fctme modelidir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-5 API modeli, yap\u0131land\u0131r\u0131labilir ak\u0131l y\u00fcr\u00fctme \u00e7abas\u0131, i\u015flev \u00e7a\u011fr\u0131s\u0131, yap\u0131land\u0131r\u0131lm\u0131\u015f \u00e7\u0131kt\u0131lar ve 400.000 tokenlik bir ba\u011flam penceresi sunar. OpenAI, GPT-5\u2019in parametre say\u0131s\u0131n\u0131, tam e\u011fitim veri setini veya GPT-NeoX-20B ile katman katman do\u011frudan mimari kar\u015f\u0131la\u015ft\u0131rma yapmaya yetecek kadar mimari ayr\u0131nt\u0131y\u0131 kamuya a\u00e7\u0131klamamaktad\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dolay\u0131s\u0131yla GPT-5\u2019in g\u00fcc\u00fc, kullan\u0131c\u0131n\u0131n sistemin temel a\u011f\u0131rl\u0131klar\u0131 \u00fczerinde kontrol sahibi olmas\u0131ndan kaynaklanmamaktad\u0131r. G\u00fcc\u00fc, ayr\u0131nt\u0131l\u0131 talimatlar, \u00f6rnekler, ba\u011flamsal bilgiler, ara\u00e7lar ve b\u00fcy\u00fck miktarda destekleyici metinle \u00e7al\u0131\u015fabilme yetene\u011finde yatmaktad\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu fark, domain adaptasyonunun neredeyse her y\u00f6n\u00fcn\u00fc \u015fekillendirir.<\/span><\/p>\n<h2><b>Mimari: A\u00e7\u0131k Kontrol ve Bar\u0131nd\u0131r\u0131lan Zeka<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">GPT-NeoX, geli\u015ftiricilere model mimarisi \u00fczerinde \u00f6nemli \u00f6l\u00e7\u00fcde daha fazla g\u00f6r\u00fcn\u00fcrl\u00fck ve kontrol sa\u011flar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-NeoX \u00e7er\u00e7evesi, b\u00fcy\u00fck otoregresif transformat\u00f6r modellerinin e\u011fitilmesi i\u00e7in tasarlanm\u0131\u015ft\u0131r ve da\u011f\u0131t\u0131k e\u011fitim, ZeRO optimizasyonu, \u00e7e\u015fitli paralellik bi\u00e7imleri, d\u00f6ner ve ALiBi konumsal g\u00f6mmeler, Flash Attention ve di\u011fer yap\u0131land\u0131r\u0131labilir mimari \u00f6zellikler gibi teknolojileri desteklemektedir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-NeoX-20B, The Pile \u00fczerinde e\u011fitilmi\u015f, 20 milyar parametreli yo\u011fun bir otoregresif dil modelidir. A\u011f\u0131rl\u0131klar\u0131 kamuya a\u00e7\u0131kt\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-5 ise tam tersi bir yakla\u015f\u0131m benimsiyor. OpenAI, modeli y\u00f6netilen bir hizmet olarak sunuyor ve geli\u015ftiricilerin modeli nas\u0131l kulland\u0131klar\u0131na ili\u015fkin denetimler sa\u011fl\u0131yor; modelin temelindeki a\u011f\u0131rl\u0131klar\u0131 ise kullan\u0131ma a\u00e7m\u0131yor.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu, OpenAI\u2019nin ilgili GPT-5 mimarisi ayr\u0131nt\u0131lar\u0131n\u0131 kamuya a\u00e7\u0131k bir \u015fekilde belgelemedi\u011fi s\u00fcrece, ekiplerin \u201cGPT-5, X mimarisini kullan\u0131rken GPT-NeoX, Y mimarisini kullan\u0131r\u201d gibi bir claim\u2019yi ger\u00e7ek\u00e7i bir \u015fekilde ortaya koyamayaca\u011f\u0131 anlam\u0131na gelir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">domain adaptasyonu s\u00f6z konusu oldu\u011funda, pratikteki ayr\u0131m daha basittir:<\/span><\/p>\n<p><b>GPT-NeoX, modeli de\u011fi\u015ftirmenize olanak tan\u0131r. GPT-5 ise modelin \u00e7evresindeki ba\u011flam\u0131 kapsaml\u0131 bir \u015fekilde kontrol etmenize olanak tan\u0131r.<\/b><\/p>\n<h2><b>\u0130nce Ayar: GPT-NeoX\u2019in A\u00e7\u0131k Bir Avantaj\u0131 Var<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">GPT-NeoX\u2019in son derece \u00f6zel kullan\u0131m senaryolar\u0131nda en b\u00fcy\u00fck avantaj\u0131, ince ayar yapma yetene\u011fidir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">EleutherAI\u2019nin GPT-NeoX \u00e7er\u00e7evesi, hem training hem de ince ayarlamay\u0131 a\u00e7\u0131k\u00e7a desteklemektedir. Kurulu\u015flar, model a\u011f\u0131rl\u0131klar\u0131na ve training altyap\u0131s\u0131na eri\u015febildikleri i\u00e7in, bir modeli \u00f6zel bir metin k\u00fcmesinde training yapmaya devam edebilir veya bir alana \u00f6zg\u00fc veriler temelinde bir model olu\u015fturabilirler.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00d6rne\u011fin, bir biyomedikal kurulu\u015f, uygun \u015fekilde lisanslanm\u0131\u015f t\u0131bbi literat\u00fcr ve terminolojiyi train edebilir. Bir teknik \u00fcretici ise, \u015firket i\u00e7i par\u00e7a adlar\u0131, m\u00fchendislik k\u0131saltmalar\u0131 ve \u00fcr\u00fcn terminolojisini i\u00e7eren belgeleri contain edebilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu d\u00fczeyde bir model \u00f6zelle\u015ftirmesi, standart GPT-5 API modeliyle m\u00fcmk\u00fcn de\u011fildir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">OpenAI\u2019nin g\u00fcncel GPT-5 belgelerinde \u015funlar listelenmektedir: <\/span><b>ince ayar desteklenmiyor<\/b><span style=\"font-weight: 400;\"> GPT-5 i\u00e7in.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu, GPT-5\u2019in \u00f6zel domains\u2019lere uyum sa\u011flayamayaca\u011f\u0131 anlam\u0131na gelmez. Bunun anlam\u0131, uyum s\u00fcrecinin farkl\u0131 bir \u015fekilde ger\u00e7ekle\u015fti\u011fidir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Geli\u015ftiriciler, GPT-5\u2019in a\u011f\u0131rl\u0131klar\u0131n\u0131 de\u011fi\u015ftirmek yerine, \u00e7\u0131kar\u0131m a\u015famas\u0131nda terminoloji, referans materyalleri, \u00f6rnekler, talimatlar, elde edilen belgeler ve di\u011fer ba\u011flam bilgilerini sa\u011flayabilirler.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Kendi veri k\u00fcmesine dayal\u0131 bir modele kesinlikle ihtiya\u00e7 duyan bir kurulu\u015f i\u00e7in GPT-NeoX, bu nedenle \u00e7ok daha fazla kontrol imkan\u0131 sunar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">B\u00fcy\u00fck \u00f6l\u00e7ekli model e\u011fitim y\u0131\u011f\u0131n\u0131 kullanmadan domain odakl\u0131 performans elde etmek isteyen bir kurulu\u015f i\u00e7in GPT-5, daha basit bir yol sunuyor.<\/span><\/p>\n<h2><b>Y\u00f6nlendirme: GPT-5\u2019in Domain Uyumundaki En B\u00fcy\u00fck G\u00fcc\u00fc<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Asl\u0131nda pek \u00e7ok uzmanl\u0131k terimiyle ilgili sorun, ince ayar gerektirmez.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A\u015fa\u011f\u0131daki gibi k\u0131saltmalar i\u00e7eren bir transkripti ele alal\u0131m:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">LVEF<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">CABG<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">NSTEMI<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">EBITDA<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">FRCP<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Kubernetes CRD<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Modele domain hakk\u0131nda net talimatlar, beklenen terimlerin yer ald\u0131\u011f\u0131 bir s\u00f6zl\u00fck ve yeterli ba\u011flam bilgisi verilirse, model temel a\u011f\u0131rl\u0131klar\u0131n\u0131 de\u011fi\u015ftirmeden belirsiz metinleri do\u011fru bir \u015fekilde yorumlayabilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u0130\u015fte burada GPT-5\u2019in komut olu\u015fturma yetenekleri \u00f6nem kazan\u0131yor.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">OpenAI, GPT-5\u2019i geli\u015ftirilmi\u015f y\u00f6nlendirilebilirlik ve yap\u0131land\u0131r\u0131labilir ak\u0131l y\u00fcr\u00fctme \u00e7abas\u0131 \u00f6zellikleriyle tasarlad\u0131. API\u2019si, minimumdan y\u00fckse\u011fe kadar uzanan ak\u0131l y\u00fcr\u00fctme ayarlar\u0131n\u0131 destekliyor ve geli\u015ftiricilerin, modelin bir g\u00f6rev i\u00e7in ne kadar ak\u0131l y\u00fcr\u00fctme ger\u00e7ekle\u015ftirece\u011fini ayarlamas\u0131na olanak tan\u0131yor.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu nedenle, geli\u015ftiriciler GPT-5\u2019e \u015funlar\u0131 s\u00f6yleyen komut sat\u0131rlar\u0131 olu\u015fturabilirler:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">transkriptin hangi sekt\u00f6rden geldi\u011fi<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">hangi terminolojinin kullan\u0131lmas\u0131 bekleniyor<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">hangi yaz\u0131m bi\u00e7imleri korunmal\u0131d\u0131r<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">hangi k\u0131saltmalar kar\u015f\u0131m\u0131za \u00e7\u0131kabilir<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\"uncertain\" ifadelerinin nas\u0131l ele al\u0131nmas\u0131 gerekti\u011fi<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">hangi kelimeler asla sessizce de\u011fi\u015ftirilmemelidir<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">d\u00fczeltmelerin nas\u0131l bi\u00e7imlendirilmesi gerekti\u011fi<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Bu, do\u011fru yorumlamay\u0131 garanti etmez, ancak ayr\u0131 bir model olu\u015fturmaya gerek kalmadan domain\u2019de \u00f6nemli \u00f6l\u00e7\u00fcde uyarlama yap\u0131lmas\u0131na olanak tan\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-NeoX-20B, az say\u0131da \u00f6rnekle komut verme i\u015flemini de ger\u00e7ekle\u015ftirebilir. Bu modelin orijinal makalesinde, yazarlar taraf\u0131ndan de\u011ferlendirilen benzer b\u00fcy\u00fckl\u00fckteki baz\u0131 kar\u015f\u0131la\u015ft\u0131rma modellerine k\u0131yasla, be\u015f \u00f6rnekle yap\u0131lan denemelerde \u00f6zellikle belirgin bir iyile\u015fme kaydedildi\u011fi belirtilmi\u015ftir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Aradaki fark \u015fudur: GPT-5 \u00e7ok daha modern bir bar\u0131nd\u0131rmal\u0131 ak\u0131l y\u00fcr\u00fctme ortam\u0131 sunarken, GPT-NeoX\u2019in ba\u015fl\u0131ca avantaj\u0131, ak\u0131l y\u00fcr\u00fctme s\u00fcreci \u00fczerinde kontrol sa\u011flamas\u0131d\u0131r.<\/span><\/p>\n<h2><b>Ba\u011flam Pencereleri, Uzmanl\u0131k Terimleri \u0130\u00e7in \u00d6nemlidir<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Domain bilgisi her zaman modelin i\u00e7inde bulunmak zorunda de\u011fildir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bazen terminoloji i\u015flemeyi iyile\u015ftirmenin en kolay yolu, modele ihtiya\u00e7 duydu\u011fu bilgileri sa\u011flamakt\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-5, bir <\/span><b>400.000 tokenlik ba\u011flam penceresi<\/b><span style=\"font-weight: 400;\">, b\u00f6ylece uygulamalar\u0131n i\u015flenmekte olan i\u00e7eri\u011fin yan\u0131 s\u0131ra kapsaml\u0131 referans materyalleri de sunabilmesini sa\u011flar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu, domain\u2019ye \u00f6zg\u00fc i\u015f ak\u0131\u015flar\u0131 i\u00e7in faydal\u0131 olanaklar yarat\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Yasal bir uygulama, modelden bir ifade tutana\u011f\u0131n\u0131 analiz etmesini istemeden \u00f6nce ilgili s\u00f6zle\u015fme tan\u0131mlar\u0131n\u0131 sunabilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bir t\u0131bbi i\u015f ak\u0131\u015f\u0131, modelden \u00f6nceden olu\u015fturulmu\u015f bir transkripti standart hale getirmesini istemeden \u00f6nce onaylanm\u0131\u015f bir terminoloji listesi, klinisyen isimleri, tesis isimleri ve k\u0131saltmalar sa\u011flayabilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bir teknik kurulu\u015f, modelden m\u00fchendislik tart\u0131\u015fmalar\u0131n\u0131 \u00f6zetlemesini istemeden \u00f6nce \u00fcr\u00fcn belgelerini ve kurum i\u00e7i terminolojiyi sa\u011flayabilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu yakla\u015f\u0131m, kelime da\u011farc\u0131\u011f\u0131 s\u0131k s\u0131k de\u011fi\u015fti\u011finde \u00f6zellikle yararl\u0131d\u0131r. Yeni bir \u00fcr\u00fcn, ila\u00e7, proje veya d\u00fczenleme ortaya \u00e7\u0131kt\u0131\u011f\u0131nda modeli her seferinde yeniden e\u011fitmek yerine, geli\u015ftiriciler modele sa\u011flanan referans materyali g\u00fcncelleyebilirler.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-NeoX\u2019e ba\u011flamsal bilgiler de verilebilir, ancak bu modelin cazibesi ba\u015fka bir yerde yat\u0131yor: ekipler, ek e\u011fitim yoluyla bilgiyi modelin i\u00e7ine aktarabilirler.<\/span><\/p>\n<h2><b>Kelime Y\u00f6netimi: Training, \u00d6zel S\u00f6zl\u00fckle Ayn\u0131 \u015eey De\u011fildir<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">LLM domain uyarlamas\u0131n\u0131, transkripsiyon \u00f6zel s\u00f6zl\u00fckleriyle kar\u0131\u015ft\u0131rmamak \u00f6nemlidir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bir ses kayd\u0131nda, otomatik konu\u015fma tan\u0131ma sisteminin yanl\u0131\u015f alg\u0131lad\u0131\u011f\u0131 bir ila\u00e7 ad\u0131 bulunuyorsa, LLM, ayr\u0131 bir ses i\u015fleme sistemine sahip olmad\u0131\u011f\u0131 s\u00fcrece yaln\u0131zca hatal\u0131 transkripti al\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-5, standart GPT-5 API modelinde ses verilerini kabul etmez. GPT-NeoX-20B de temelde bir metin \u00fcretme modelidir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu, dil modeli katman\u0131nda terminoloji d\u00fczeltmesinin ger\u00e7ekle\u015fti\u011fi anlam\u0131na gelir <\/span><b>sonra<\/b><span style=\"font-weight: 400;\"> konu\u015fma tan\u0131ma.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Yerel transkripsiyon i\u00e7in \u00d6zel S\u00f6zl\u00fck daha \u00f6nce \u00e7al\u0131\u015f\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00d6rne\u011fin, Sonix\u2019in \u00d6zel S\u00f6zl\u00fc\u011f\u00fc, kullan\u0131c\u0131lar\u0131n orijinal transkripsiyonu etkilemesi gereken kelime ve ifadeleri girmelerine olanak tan\u0131r. Sonix, bu \u00f6zelli\u011fi transkripsiyon s\u0131ras\u0131nda kullan\u0131c\u0131 tan\u0131ml\u0131 terimlerin tan\u0131nmas\u0131n\u0131 iyile\u015ftirmenin bir yolu olarak a\u00e7\u0131k\u00e7a tan\u0131mlamaktad\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu ayr\u0131m \u00f6nemlidir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">E\u011fer \u00f6ncelikle sistemin \u201cmiyokard enfarkt\u00fcs\u00fc\u201d ifadesini do\u011fru bir \u015fekilde alg\u0131lamas\u0131n\u0131 sa\u011flamaya \u00e7al\u0131\u015f\u0131yorsan\u0131z, konu\u015fma tan\u0131ma s\u00f6zl\u00fc\u011f\u00fcn\u00fc \u00f6zelle\u015ftirmek, genel bir dil modelinden transkripti sonradan yeniden i\u015flemeyi istemekten daha do\u011frudan bir \u00e7\u00f6z\u00fcmd\u00fcr.<\/span><\/p>\n<h2><b>Hangi Model Yeni Terimleri Daha \u0130yi Anl\u0131yor?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">GPT-5 veya GPT-NeoX\u2019in t\u00fcm domain\u2019ye \u00f6zg\u00fc terminolojide belirli bir oranda iyile\u015fme sa\u011flad\u0131\u011f\u0131n\u0131 kan\u0131tlayan g\u00fcvenilir ve evrensel bir \u00f6l\u00e7\u00fct bulunmamaktad\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ancak uyum mekanizmalar\u0131, farkl\u0131 g\u00fc\u00e7l\u00fc y\u00f6nlere i\u015faret ediyor.<\/span><\/p>\n<h3><b>Terminoloji ba\u011flam olarak sa\u011flanabildi\u011finde GPT-5 daha iyi performans g\u00f6sterir<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Uygulama, \u00e7al\u0131\u015fma s\u0131ras\u0131nda bir terimler s\u00f6zl\u00fc\u011f\u00fc, \u00f6rnekler, belgeler veya talimatlar sunabiliyorsa, GPT-5, \u00f6zel bir model olu\u015fturmaya gerek kalmadan uzmanl\u0131k terimlerini yorumlamak i\u00e7in pratik bir yol sunar.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Geni\u015f ba\u011flam penceresi, bu yakla\u015f\u0131m i\u00e7in \u00f6zellikle kullan\u0131\u015fl\u0131d\u0131r.<\/span><\/p>\n<h3><b>Modelin kendisini de\u011fi\u015ftirmeniz gerekti\u011finde GPT-NeoX daha g\u00fc\u00e7l\u00fcd\u00fcr<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">GPT-NeoX \u00e7er\u00e7evesi ve a\u011f\u0131rl\u0131klar\u0131, e\u011fitim ve ince ayar i\u00e7in kullan\u0131labilir oldu\u011fundan, kurulu\u015flar modele do\u011frudan alan uyarlamas\u0131n\u0131 entegre edebilirler.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu durum, \u00f6nemli bir operasyonel y\u00fck\u00fc beraberinde getiriyor. EleutherAI\u2019nin kendi belgelerinde, GPT-NeoX\u2019in b\u00fcy\u00fck modelleri \u00e7al\u0131\u015ft\u0131rmak i\u00e7in b\u00fcy\u00fck \u00f6l\u00e7\u00fcde optimize edildi\u011fi belirtiliyor ve milyarlarca parametreye sahip modelleri s\u0131f\u0131rdan \u00e7al\u0131\u015ft\u0131rmak istemeyen kullan\u0131c\u0131lar\u0131n genellikle di\u011fer \u00e7\u0131kar\u0131m ara\u00e7lar\u0131ndan daha fazla fayda g\u00f6rece\u011fi ifade ediliyor.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Dolay\u0131s\u0131yla, daha fazla kontrol, her zaman daha basit bir kurulum anlam\u0131na gelmez.<\/span><\/p>\n<h2><b>Avai'nin \u0130\u015flevselli\u011fi ve Uygulanmas\u0131<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Bu iki yakla\u015f\u0131m, altyap\u0131 a\u00e7\u0131s\u0131ndan da b\u00fcy\u00fck \u00f6l\u00e7\u00fcde farkl\u0131l\u0131k g\u00f6stermektedir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-NeoX, kendi sunucular\u0131nda bar\u0131nd\u0131r\u0131labilir. Kurulu\u015flar, koduna ve model a\u011f\u0131rl\u0131klar\u0131na eri\u015febilir ve modelin nas\u0131l ve nerede \u00e7al\u0131\u015ft\u0131r\u0131laca\u011f\u0131n\u0131 kontrol edebilir. Bu \u00e7er\u00e7eve, GPU ve y\u00fcksek performansl\u0131 hesaplama ortamlar\u0131nda b\u00fcy\u00fck \u00f6l\u00e7ekli da\u011f\u0131t\u0131mlar\u0131 destekler.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A\u015fa\u011f\u0131daki durumlarda bu cazip gelebilir:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">kendi sunucusunda bar\u0131nd\u0131rma gereklidir<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">ekiplerin model a\u011f\u0131rl\u0131klar\u0131na do\u011frudan eri\u015fimi olmas\u0131 gerekir<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Ara\u015ft\u0131rmac\u0131lar mimariyi de\u011fi\u015ftirmek istiyorlar<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Kurulu\u015flar\u0131n \u00f6zel training'e ihtiyac\u0131 var<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Altyap\u0131 kontrol\u00fc, da\u011f\u0131t\u0131m\u0131n kolayl\u0131\u011f\u0131ndan daha \u00f6nemlidir<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">GPT-5\u2019e OpenAI\u2019nin API\u2019si \u00fczerinden eri\u015filir. Geli\u015ftiriciler, model a\u011f\u0131rl\u0131klar\u0131n\u0131 veya e\u011fitim altyap\u0131s\u0131n\u0131 y\u00f6netmezler.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A\u015fa\u011f\u0131daki durumlarda bu cazip gelebilir:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Tak\u0131mlar h\u0131zl\u0131 bir \u015fekilde devreye almak istiyor<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Uzmanl\u0131k bilgisi, y\u00f6nlendirmeler veya bilgi eri\u015fimi yoluyla sa\u011flanabilir<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">maintaining GPU altyap\u0131s\u0131 tercih edilmez<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Geli\u015fmi\u015f ak\u0131l y\u00fcr\u00fctme, modelin kime ait oldu\u011fundan daha \u00f6nemlidir<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">uygulamalar, yap\u0131land\u0131r\u0131lm\u0131\u015f \u00e7\u0131kt\u0131lara veya ara\u00e7 \u00e7a\u011fr\u0131lar\u0131na ihtiya\u00e7 duyar<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Dolay\u0131s\u0131yla, availability konusunda tek bir kazanan yoktur.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-NeoX \u015funlar\u0131 sunar: <\/span><b>m\u00fclkiyet ve kontrol<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-5 \u015funlar\u0131 sunar: <\/span><b>kontroll\u00fc eri\u015fim ve daha d\u00fc\u015f\u00fck altyap\u0131 maliyetleri<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2><b>Transkripsiyon \u0130\u015f Ak\u0131\u015f\u0131nda Hangi A\u015famada Yer Al\u0131rlar?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Transkripsiyon i\u00e7in en etkili yap\u0131 genellikle \u201cses dosyas\u0131n\u0131 GPT-NeoX\u2019e g\u00f6ndermek\u201d ya da \u201cses dosyas\u0131n\u0131 GPT-5\u201de g\u00f6ndermek\u201d de\u011fildir.\u201d<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bunun yerine, i\u015f ak\u0131\u015f\u0131n\u0131 katmanlar halinde d\u00fc\u015f\u00fcn\u00fcn.<\/span><\/p>\n<p><b>1. Katman: Konu\u015fma tan\u0131ma<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Ses, konu\u015fma tan\u0131ma i\u00e7in tasarlanm\u0131\u015f bir transkripsiyon sistemi kullan\u0131larak metne d\u00f6n\u00fc\u015ft\u00fcr\u00fcl\u00fcr.<\/span><\/p>\n<p><b>2. Katman: Kelime da\u011farc\u0131\u011f\u0131n\u0131n uyarlanmas\u0131<\/b><\/p>\n<p><span style=\"font-weight: 400;\">\u00d6zel s\u00f6zl\u00fckler veya \u00f6zel transkripsiyon modelleri, transkripsiyon s\u00fcrecinde \u00f6nemli terimlerin tan\u0131nmas\u0131n\u0131 iyile\u015ftirir.<\/span><\/p>\n<p><b>3. Katman: Dil modeli i\u015fleme<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Bir dil modeli, elde edilen transkripti temizleyebilir, d\u00fczenleyebilir, analiz edebilir, \u00f6zetleyebilir, s\u0131n\u0131fland\u0131rabilir veya bu transkriptten bilgi \u00e7\u0131karabilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu, GPT-NeoX\u2019ten t\u00fcretilmi\u015f bir modelin veya GPT-5\u2019in devreye girebilece\u011fi aland\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00d6rne\u011fin, bir t\u0131bbi kay\u0131t olu\u015fturulduktan sonra, bir dil modeli b\u00f6l\u00fcmlerin belirlenmesine, tart\u0131\u015fman\u0131n \u00f6zetlenmesine veya bi\u00e7imlendirmenin standart hale getirilmesine yard\u0131mc\u0131 olabilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Yasal bir ifade tutana\u011f\u0131 yaz\u0131ya d\u00f6k\u00fcld\u00fckten sonra, bir hukuk y\u00fcksek lisans (LLM) mezunu, belirli s\u00f6zle\u015fme h\u00fck\u00fcmlerine yap\u0131lan at\u0131flar\u0131 tespit edebilir veya b\u00f6l\u00fcmleri konuya g\u00f6re d\u00fczenleyebilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Teknik bir toplant\u0131n\u0131n ard\u0131ndan, eylem maddeleri veya explain gibi bilindik olmayan terimler ortaya \u00e7\u0131kabilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00d6nemli olan nokta \u015fudur ki <\/span><b>Sonradan yap\u0131lan d\u00fczenlemeler, transkripsiyonun ba\u015ftan do\u011fru bir \u015fekilde yap\u0131lmas\u0131n\u0131n yerini g\u00fcvenilir bir \u015fekilde tutamaz<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\n<h2><b>Sonix\u2019in Domain\u2019ye \u00d6zg\u00fc Transkripsiyondaki Yeri<\/b><\/h2>\n<p><a href=\"https:\/\/sonix.ai\/features\/automated-transcription\"><span style=\"font-weight: 400;\">Sonix<\/span><\/a><span style=\"font-weight: 400;\"> kullan\u0131c\u0131lardan kendi dil modellerini olu\u015fturup bar\u0131nd\u0131rmalar\u0131n\u0131 istemek yerine, transkripsiyon katman\u0131nda \u00e7al\u0131\u015f\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Sonix \u015fu anda 54'ten fazla dilde otomatik transkripsiyon deste\u011fi sunuyor ve sisteminin net kay\u0131tlarda %'ye varan do\u011fruluk oran\u0131na ula\u015fabildi\u011fini belirtiyor; bu do\u011fruluk oran\u0131 ise ses kalitesi, arka plan g\u00fcr\u00fclt\u00fcs\u00fc ve konu\u015fmac\u0131n\u0131n netli\u011fi gibi fakt\u00f6rlere ba\u011fl\u0131 olarak de\u011fi\u015febilir. Sonix, yakla\u015f\u0131k bir saatlik i\u00e7eri\u011fin genellikle be\u015f dakika i\u00e7inde transkripsiyona d\u00f6n\u00fc\u015ft\u00fcr\u00fclebildi\u011fini belirtiyor.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00d6zel terminoloji s\u00f6z konusu oldu\u011funda, Sonix\u2019in \u00d6zel S\u00f6zl\u00fc\u011f\u00fc, kullan\u0131c\u0131lar\u0131n orijinal transkripsiyonun kendisini etkileyen kelime ve ifadeleri girmelerine olanak tan\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Bu durum, GPT-NeoX veya GPT-5\u2019ten farkl\u0131 bir t\u00fcr domain uyarlamas\u0131 ortaya \u00e7\u0131kar\u0131r.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-NeoX ile dil modelini potansiyel olarak yeniden e\u011fitmek veya ince ayar\u0131n\u0131 yapabilirsiniz.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GPT-5 ile metin i\u015flerken \u00f6zel terminoloji ve ba\u011flam sa\u011flayabilirsiniz.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Sonix ile, konu\u015fma tan\u0131ma sisteminin transkripti olu\u015fturmas\u0131na yard\u0131mc\u0131 olmak i\u00e7in \u00f6zel terminoloji sa\u011flayabilirsiniz.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u201cTranskripsiyonlar\u0131m\u0131zda \u00f6nemli teknik terimler s\u00fcrekli yanl\u0131\u015f yaz\u0131l\u0131yor\u201d sorunu ya\u015fayan ekipler i\u00e7in, bu sorunu transkripsiyon a\u015famas\u0131nda \u00e7\u00f6zmek genellikle en do\u011frudan yakla\u015f\u0131md\u0131r.<\/span><\/p>\n<h2><b>GPT-NeoX ve GPT-5: Hangisi Ger\u00e7ekten Daha \u0130yi Uyum Sa\u011fl\u0131yor?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Cevap, ihtiyac\u0131n\u0131z olan uyum t\u00fcr\u00fcne ba\u011fl\u0131d\u0131r.<\/span><\/p>\n<p><b>Model d\u00fczeyinde \u00f6zelle\u015ftirmenin en \u00f6nemli oldu\u011fu durumlarda GPT-NeoX yakla\u015f\u0131m\u0131n\u0131 tercih edin.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">A\u00e7\u0131k kaynakl\u0131 a\u011f\u0131rl\u0131klar\u0131 ve e\u011fitim \u00e7er\u00e7evesi, teknik ekiplere \u00f6zel veri k\u00fcmeleriyle modelleri e\u011fitme veya ince ayar yapma \u00f6zg\u00fcrl\u00fc\u011f\u00fc sa\u011flar. Bu da onu ara\u015ft\u0131rma gruplar\u0131, g\u00fc\u00e7l\u00fc makine \u00f6\u011frenimi altyap\u0131s\u0131na sahip kurulu\u015flar ya da kendi sunucular\u0131nda bar\u0131nd\u0131rma ve kontrol\u00fcn temel gereklilikler oldu\u011fu projeler i\u00e7in de\u011ferli k\u0131lar.<\/span><\/p>\n<p><b>Kendi modelinizi maintaining yapmadan g\u00fc\u00e7l\u00fc bir domain uyarlamas\u0131na ihtiya\u00e7 duydu\u011funuzda GPT-5 yakla\u015f\u0131m\u0131n\u0131 tercih edin.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">GPT-5, kapsaml\u0131 talimatlar, \u00f6rnekler, referans materyalleri ve elde edilen ba\u011flamla \u00e7al\u0131\u015fabilir. Geni\u015f ba\u011flam penceresi sayesinde, transkriptleri veya di\u011fer \u00f6zel belgeleri i\u015flerken \u00f6nemli miktarda domain bilgisi sa\u011flamak pratik hale gelir. GPT-5 API modelinin kendisinin ince ayar yap\u0131lmas\u0131 \u015fu anda desteklenmemektedir.<\/span><\/p>\n<p><b>Sorun ses kayd\u0131nda ba\u015fl\u0131yorsa, \u00f6zel bir transkripsiyon sistemi se\u00e7in.<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Konu\u015fmadan uzmanl\u0131k terimlerinin do\u011fru bir \u015fekilde tan\u0131nmas\u0131 gerekiyorsa, Sonix\u2019in sundu\u011fu gibi transkripsiyona \u00f6zg\u00fc bir \u00f6zellik <\/span><a href=\"https:\/\/sonix.ai\/features\"><span style=\"font-weight: 400;\">\u00d6zel S\u00f6zl\u00fck<\/span><\/a><span style=\"font-weight: 400;\"> transkripsiyon s\u0131ras\u0131nda kullan\u0131lan terminolojiyi ele al\u0131r; hatalar\u0131 sonradan d\u00fczeltmeye \u00e7al\u0131\u015fmak yerine.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Uygulamada, bu teknolojiler birbirlerini tamamlayabilir.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Transkripsiyon platformu, konu\u015fmay\u0131 zaman damgas\u0131 i\u00e7eren do\u011fru bir metne d\u00f6n\u00fc\u015ft\u00fcr\u00fcr. Domain\u2019ye \u00f6zg\u00fc kelime da\u011farc\u0131\u011f\u0131, ilk transkripti iyile\u015ftirir. Dil modelleri ise ekiplerin bu i\u00e7eri\u011fi anlamas\u0131na, d\u00fczenlemesine, \u00f6zetlemesine ve yeniden kullanmas\u0131na yard\u0131mc\u0131 olur.<\/span><\/p>\n<h2><b>S\u0131k\u00e7a Sorulan Sorular<\/b><\/h2>\n<h3><b>domain'ye \u00f6zg\u00fc teknik terimler a\u00e7\u0131s\u0131ndan GPT-5, GPT-NeoX'ten daha m\u0131 iyi?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Yaz\u0131lar, \u00f6rnekler ve ba\u011flamsal belgeler arac\u0131l\u0131\u011f\u0131yla kullan\u0131ma haz\u0131r dil anlama ve uyarlama \u00f6zellikleri a\u00e7\u0131s\u0131ndan GPT-5 genellikle daha pratik bir se\u00e7imdir. GPT-NeoX'in ise farkl\u0131 bir avantaj\u0131 vard\u0131r: geli\u015ftiriciler, training \u00e7er\u00e7evesine ve model a\u011f\u0131rl\u0131klar\u0131na eri\u015febilirler; bu da onlara, etki alan\u0131na \u00f6zg\u00fc veriler \u00fczerinde modelleri train veya ince ayar yapma olana\u011f\u0131 sa\u011flar. Dolay\u0131s\u0131yla, hangi yakla\u015f\u0131m\u0131n daha iyi oldu\u011fu, \u00e7al\u0131\u015fma zaman\u0131 ba\u011flamsal uyarlamaya m\u0131 yoksa model e\u011fitimi \u00fczerinde do\u011frudan kontrole mi ihtiyac\u0131n\u0131z oldu\u011funa ba\u011fl\u0131d\u0131r.<\/span><\/p>\n<h3><b>GPT-NeoX, t\u0131bbi veya hukuki terminolojiye g\u00f6re ince ayarlanabilir mi?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Evet. EleutherAI\u2019nin GPT-NeoX \u00e7er\u00e7evesi, \u00f6zel veriler \u00fczerinde e\u011fitim ve ince ayar i\u015flemlerini desteklemektedir. Bu nedenle, uygun veri k\u00fcmelerine, bilgi i\u015flem altyap\u0131s\u0131na ve makine \u00f6\u011frenimi uzmanl\u0131\u011f\u0131na sahip bir kurulu\u015f, GPT-NeoX tabanl\u0131 bir modeli \u00f6zel terminolojiye uyarlayabilir. Ortaya \u00e7\u0131kan sistemin kalitesi, verilere, e\u011fitim metodolojisine, de\u011ferlendirme s\u00fcrecine ve da\u011f\u0131t\u0131m yap\u0131land\u0131rmas\u0131na ba\u011fl\u0131d\u0131r.<\/span><\/p>\n<h3><b>GPT-5, \u00f6zel terminolojiye g\u00f6re ince ayarlanabilir mi?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Standart GPT-5 API modeli, \u015fu anda ince ayarlamay\u0131 desteklenmeyen bir \u00f6zellik olarak listelemektedir. Geli\u015ftiriciler bunun yerine, ayr\u0131nt\u0131l\u0131 talimatlar, \u00f6rnekler, s\u00f6zl\u00fckler, al\u0131nan belgeler ve di\u011fer ba\u011flamsal bilgiler sa\u011flayarak GPT-5\u2019in davran\u0131\u015f\u0131n\u0131 uyarlayabilirler. GPT-5, 400.000 tokenlik bir ba\u011flam penceresi destekler ve uygulamalara referans materyali i\u00e7in \u00f6nemli bir alan sa\u011flar.<\/span><\/p>\n<h3><b>GPT-5 veya GPT-NeoX, ses kay\u0131tlar\u0131n\u0131 do\u011frudan metne d\u00f6n\u00fc\u015ft\u00fcrebilir mi?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Standart GPT-5 API modeli ses giri\u015fini desteklemez ve GPT-NeoX-20B, \u00f6zel bir konu\u015fma tan\u0131ma modeli de\u011fil, otoregresif bir dil modelidir. Ses transkripsiyonu i\u00e7in, konu\u015fma-metin d\u00f6n\u00fc\u015ft\u00fcrme amac\u0131yla tasarlanm\u0131\u015f bir sistem kullan\u0131n ve ard\u0131ndan ek metin analizi, d\u00fczeltme, \u00f6zetleme veya veri \u00e7\u0131karma gerekti\u011finde bir LLM kullan\u0131n.<\/span><\/p>\n<h3><b>Transkriptlerdeki teknik terminolojiyi geli\u015ftirmek i\u00e7in LLM'ye ihtiyac\u0131m var m\u0131?<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">\u0130lle de \u00f6yle de\u011fil. Sorun, ses kayd\u0131ndaki uzmanl\u0131k terimlerinin yanl\u0131\u015f tan\u0131nmas\u0131ysa, \u00f6zel kelime da\u011farc\u0131\u011f\u0131 \u00f6zelle\u015ftirme \u00f6zelli\u011fine sahip bir transkripsiyon platformu bu sorunu daha erken a\u015famada \u00e7\u00f6zebilir. \u00d6rne\u011fin, Sonix\u2019in \u00d6zel S\u00f6zl\u00fc\u011f\u00fc, kullan\u0131c\u0131 taraf\u0131ndan tan\u0131mlanan terimlerin orijinal transkripsiyonu etkilemesine olanak tan\u0131r. Bir LLM, metnin ba\u011flamsal yorumlanmas\u0131, temizlenmesi, analizi, \u00f6zetlenmesi veya d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesi gerekti\u011finde, transkripsiyon i\u015fleminden sonra daha kullan\u0131\u015fl\u0131 hale gelir.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Ever tried transcribing a medical consultation and watched a specialized term come back as something completely unrelated? Domain-specific jargon remains one of the hardest parts of automated transcription and language processing. But comparing GPT-NeoX and GPT-5 requires an important distinction: neither GPT-NeoX-20B nor the standard GPT-5 API model is itself a speech-to-text model. GPT-NeoX-20B is [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":912,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"class_list":["post-911","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-education"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>GPT-NeoX vs. GPT-5: Which One Adapts Better to Domain-Specific Jargon? - Moving AI Forward<\/title>\n<meta name=\"description\" content=\"Compare GPT-NeoX vs. GPT-5 for domain-specific jargon. 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