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Yapay Zeka Nasıl Gerçekten Öğrenir
Yapay zekanin nasil ogrendigini ve modern AI mimarilerinin nasil calistigini sade bir sekilde anlatan bir rehberdir. Rehberde dil modellerinin bilgi sinirlari, context kullanimi, RAG (Retrieval Augmented Generation) sistemleri ve model agirliklari (weights) gibi temel kavramlar anlatilir. Ayrica veriyi prompt icine koyma, vektor veritabani kullanma ve modeli dogrudan egitme yaklasimlari karsilastirilir. Sentetik veri uretimi, hibrit AI mimarileri ve gelecekte yapay zekanin nasil gelisecegine dair mimari yaklasimlar da ele alinmaktadir.
Ne anlatıyor?
Yapay zekanin nasil bilgi ogrendigini, RAG sistemleri ile model egitimi arasindaki farklari ve gelecekte AI sistemlerinin nasil calisacagini anlatan kavramsal bir kilavuzdur. Context, RAG ve model egitimi yaklasimlarini karsilastirarak hibrit mimarilerin gelecekte en verimli cozum olacagini vurgular.
Dinlemeye başla. Fikirler seni bekliyor.
37 milyondan fazla kişiden oluşan öğrenme topluluğuna katıl. Günlük rutinini dünyanın en iyi fikirleriyle doldur.
Hemen Başla