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to our newsletter: https://bitbiased.ai/ Is GPT-5.3 Garlic the next big leap in AI? While OpenAI hasn’t officially confirmed anything about GPT-5.3, the leaks are piling up! 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Çağatay, yapay zeka, programlama ve kariyer konularında paylaşımlar yapan bir kanal sahibi olarak kendini tanıtıyor.","Video, GPT-3 modelinin teknik özellikleri, çalışma prensibi ve sınırlamaları hakkında kapsamlı bilgiler sunuyor. Modelin 175 milyar parametreli olduğu, 4,5 milyon dolar maliyetle eğitildiği ve 45 TB'lik bir veri seti üzerinde eğitildiği açıklanıyor. Ayrıca makine öğrenmesindeki eğitim zamanı ve çıkarım zamanı kavramları, \"one shot\" ve \"free shot\" kavramları ele alınıyor.","Videoda ayrıca GPT modellerinin çeviri, özetleme gibi görevleri yapabilme yeteneği, zero shot learning (sıfır atış öğrenme) özelliği ve fiziksel yasalarda yanılışları gibi sınırlamaları da inceleniyor. Konuşmacı, kendi deneyimlerini paylaşarak 100 milyon parametreli bir GPT modeli eğiterek Türkçenin dilbilgisi yapılarını çözdüğünü gösteriyor."]},"endTime":1103,"title":"GPT-3 Modeli ve Yapay Zeka Hakkında Bilgilendirici Video","beginTime":0}],"fullResult":[{"index":0,"title":"GPT-3 Modeli Hakkında Giriş","list":{"type":"unordered","items":["GPT-3, Open AI tarafından geliştirilen doğal dil işleme yapan bir modeldir.","Konuşmacı robotik mühendisi olup, yapay zeka, programlama ve kariyerle ilgili paylaşımlar yapmaktadır.","GPT-3 modeli oldukça popüler olmasına rağmen, konuşmacı doğal dil işleme uzmanı olmadığı için önce makaleyi incelemiş ve araştırmalar yapmıştır."]},"beginTime":0,"endTime":106,"href":"/video/preview/4065904779413951589?parent-reqid=1769837971350318-9490206632784400412-balancer-l7leveler-kubr-yp-klg-53-BAL&text=GPT+Explains&t=0&ask_summarization=1"},{"index":1,"title":"GPT-3 Modelinin Özellikleri","list":{"type":"unordered","items":["GPT-3 modeli bir doğal dil işlem modelidir ve transformerlardan oluşur.","Modelin yapılma sebebi, transformlardan oluşan doğal dil işlem modelini korkunç şekilde büyütme denemesidir.","GPT-3, 175 milyar parametrelik bir model olup, eğitimi 4,5 milyon dolar civarında para gerektirmektedir."]},"beginTime":106,"endTime":189,"href":"/video/preview/4065904779413951589?parent-reqid=1769837971350318-9490206632784400412-balancer-l7leveler-kubr-yp-klg-53-BAL&text=GPT+Explains&t=106&ask_summarization=1"},{"index":2,"title":"GPT-3'nin Öğrenme Yöntemi","list":{"type":"unordered","items":["GPT-3 modeli, kelimeleri veya karakterleri (token) tahmin etmek için öğrenir.","Eğitim için 45 TB büyüklüğünde bir veri seti indirilir ve temizlenerek 576 GB'a düşürülür.","Model sadece bir sonraki kelime veya karakteri tahmin etmek için eğitilir, bu nedenle etiketleme işlemine gerek yoktur."]},"beginTime":189,"endTime":324,"href":"/video/preview/4065904779413951589?parent-reqid=1769837971350318-9490206632784400412-balancer-l7leveler-kubr-yp-klg-53-BAL&text=GPT+Explains&t=189&ask_summarization=1"},{"index":3,"title":"Zero Shot Learning Özellikleri","list":{"type":"unordered","items":["GPT-3, sadece dil bilgisi ile eğitildiği halde, özetleme, çeviri, kod yazma gibi görevleri yapabilir.","Model, büyük veri setindeki örneklere dayanarak görevleri öğrenir, bu duruma \"zero shot learning\" denir.","Zero shot learning, görevi özel olarak öğretmeden modelin kendisinin öğrenmesini ifade eder."]},"beginTime":324,"endTime":621,"href":"/video/preview/4065904779413951589?parent-reqid=1769837971350318-9490206632784400412-balancer-l7leveler-kubr-yp-klg-53-BAL&text=GPT+Explains&t=324&ask_summarization=1"},{"index":4,"title":"GPT-3'nin Başarısı ve Hataları","list":{"type":"unordered","items":["GPT-3, paragraf okuyup soruları cevaplayabilir ve bu görevleri özel olarak öğretmeden öğrenebilir.","Model fiziksel yasalarda hatalar yapabilir, örneğin peynirin buzdolabına konulmadığında ne olacağı gibi basit sorulara doğru cevap veremeyebilir."]},"beginTime":621,"endTime":667,"href":"/video/preview/4065904779413951589?parent-reqid=1769837971350318-9490206632784400412-balancer-l7leveler-kubr-yp-klg-53-BAL&text=GPT+Explains&t=621&ask_summarization=1"},{"index":5,"title":"Makine Öğrenmesindeki Aşamalar","list":{"type":"unordered","items":["Makine öğrenmesinde eğitim zamanı (training time) ve çıkarım zamanı (influence time) olarak iki aşamadan oluşur.","One shot ve few shot öğrenme yöntemlerinde, model sadece birkaç örnek gösterilerek çıkarım zamanında öğrenir, eğitim zamanı yoktur.","Bu yöntemlerde model, gösterilen örnekleri anlayarak yeni görevleri tamamlayabilir, örneğin toplama işlemi gibi."]},"beginTime":670,"endTime":761,"href":"/video/preview/4065904779413951589?parent-reqid=1769837971350318-9490206632784400412-balancer-l7leveler-kubr-yp-klg-53-BAL&text=GPT+Explains&t=670&ask_summarization=1"},{"index":6,"title":"Modelin Limitleri","list":{"type":"unordered","items":["Bu model bazı alanlarda ince ayar yapılan modelleri geçebilirken, bazı alanlarda geçememektedir.","Model inanılmaz sayıda ve boyutta veriyle eğitilmiş olmasına rağmen, ortalama bir insanın becerisinden daha iyi değildir.","Bu modelin pratik kullanımı yoktur; sadece zengin ve milyonlarca dolar harcayabilecek araştırmacılar tarafından kullanılabilir."]},"beginTime":761,"endTime":846,"href":"/video/preview/4065904779413951589?parent-reqid=1769837971350318-9490206632784400412-balancer-l7leveler-kubr-yp-klg-53-BAL&text=GPT+Explains&t=761&ask_summarization=1"},{"index":7,"title":"Yapay Zekanın Anlaşılamazlığı","list":{"type":"unordered","items":["Yapay zekanın içindeki görevlerin nerede olduğu tam olarak bilinmemektedir; modelin yaptığı tahminlerin nedeni açık değildir.","Derin öğrenmenin en büyük sorunlarından biri, modelin içinde neler olduğunu açıklayamamaktır.","Bu konuda \"açıklanabilir yapay zeka\" (explable AI) olarak bilinen araştırmalar yapılmaktadır."]},"beginTime":846,"endTime":916,"href":"/video/preview/4065904779413951589?parent-reqid=1769837971350318-9490206632784400412-balancer-l7leveler-kubr-yp-klg-53-BAL&text=GPT+Explains&t=846&ask_summarization=1"},{"index":8,"title":"Kullanılabilecek Kaynaklar","list":{"type":"unordered","items":["Karpath adlı Stanford'dan gelen bir araştırmacı, GitHub'da GPT'nin küçük versiyonunu yapabilmek için kod paylaşmıştır.","Konuşmacı, bu kodu kullanarak yaklaşık 100 milyon parametreli bir model eğitmiştir.","Modeli eğitmek için Caggle'da bulunan Ekşi Sözlük veri seti kullanılmıştır."]},"beginTime":916,"endTime":985,"href":"/video/preview/4065904779413951589?parent-reqid=1769837971350318-9490206632784400412-balancer-l7leveler-kubr-yp-klg-53-BAL&text=GPT+Explains&t=916&ask_summarization=1"},{"index":9,"title":"Modelin Başarısı","list":{"type":"unordered","items":["Eğitilen model Türkçenin dilbilgisi yapılarını ve dil kurallarını öğrenmiştir.","Model parantezleri kapatma, nokta ve ünlem koyma gibi dil kurallarını uygulayabilir durumdadır.","Konuşmacı, bu deneylerden çok memnun kalmış ve gelecekte daha fazla deney yapmayı planlamaktadır."]},"beginTime":985,"endTime":1101,"href":"/video/preview/4065904779413951589?parent-reqid=1769837971350318-9490206632784400412-balancer-l7leveler-kubr-yp-klg-53-BAL&text=GPT+Explains&t=985&ask_summarization=1"}],"linkTemplate":"/video/preview/4065904779413951589?parent-reqid=1769837971350318-9490206632784400412-balancer-l7leveler-kubr-yp-klg-53-BAL&text=GPT+Explains&t=%%timestamp%%&ask_summarization=1"},"isAdultDoc":false,"relatedParams":{"text":"WHAT IS GPT 3? 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