Dergiler / Avrasya Etüdleri / 2025 / Sayı: 64

TÜRK DEVLETLERİNİN KÜLTÜREL VE TURİZM VERİLERİYLE İNCE AYARI YAPILMIŞ ÜRETKEN YAPAY ZEKA MODELİ

GENERATIVE ARTIFICIAL INTELLIGENCE MODEL FINE-TUNED WITH CULTURAL AND TOURISM DATA FROM THE TURKIC STATES

Mune Moğol Sever(ANADOLU ÜNİVERSİTESİ, TURİZM FAKÜLTESİ, TURİZM İŞLETMECİLİĞİ BÖLÜMÜ)0000-0003-4706-5859
Sayfa
97–120
Yayın Tarihi
2025-06-30
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Geliştirilen ÜYZ uygulamasının turizmde dijital teknolojilerin kullanılabilirliğini göstermesi adına, alana katkı sağlayacağı düşünülmektedir.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Üretken Yapay Zeka (ÜYZ) GPT 3.0 ve sonrası herkes tarafından kullanılabilen ve tercih edilen bir araç haline dönüşmüştür.
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Temel Bulgular & Veri:Makine Öğrenmesi (MÖ) algoritmalarının çok fazla parametreyle eğitilmesi ve beslenmesi sonucu yapılan sorgulara çok hızlı ve doğruluk oranı yüksek sonuçlar üretilmesi mümkün hale gelmiştir.
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Sonuç & Katkı:Geliştirilen ÜYZ uygulamasının turizmde dijital teknolojilerin kullanılabilirliğini göstermesi adına, alana katkı sağlayacağı düşünülmektedir.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Üretken Yapay Zeka · Yapay Zeka Eğitimi · İnce Ayar

Özet

Üretken Yapay Zeka (ÜYZ) GPT 3.0 ve sonrası herkes tarafından kullanılabilen ve tercih edilen bir araç haline dönüşmüştür. Makine Öğrenmesi (MÖ) algoritmalarının çok fazla parametreyle eğitilmesi ve beslenmesi sonucu yapılan sorgulara çok hızlı ve doğruluk oranı yüksek sonuçlar üretilmesi mümkün hale gelmiştir. Bu nedenle ÜYZ’ler turizm ve seyahatte kişiselleştirilmiş bir araç haline dönüşmüştür. Bu çalışmada geliştirilen ÜYZ modeli, eğitilerek Türk Dünyası Coğrafyası’nı gezmek isteyen bireylerin kullanımına uygun bir araç ve aplikasyon haline getirilmiştir. Geliştirilen aplikasyon Android cihazlardan erişilebilir durumdadır. Model, bölgeye özgü kültür ve turizmle ilgili internet verileriyle eğitilmiş ve ince ayarı yapılmıştır. Model başarısının ölçümünde ise MÖ modellerinin ölçümünde kullanılan, kesinlik, duyarlılık ve F1 skoru metriklerinden yararlanılmıştır. Bu hesaplamalara göre basit sorgulamalar için modelin başarı oranı % 93 (F1 Skoru) olarak ölçülmüştür. Kişiselleştirilmiş bir ÜYZ modeli ve uygulaması olması yönüyle, çalışmanın pratikte Türk Dünyası Coğrafyası’nı ziyaret edecek kişilere destek olacağı düşünülmektedir. Geliştirilen ÜYZ uygulamasının turizmde dijital teknolojilerin kullanılabilirliğini göstermesi adına, alana katkı sağlayacağı düşünülmektedir.

Abstract

Generative Artificial Intelligence (GENAI), after GPT 3.0, has become a useful tool. By training and feeding Machine Learning (ML) algorithms with many parameters, it has become possible to obtain very fast and highly accurate results. Thus, GENAIs have become a personalized tool in tourism and travel who want to travel to the Turkic States. The model was trained and finetuned with context-related (culture and tourism) data specific to the region. The model’s success was measured using the metrics of precision, sensitivity, and F1 score used in measuring ML algorithms. The developed application is accessible from Android devices. According to these calculations, the performance of the model for simple queries was measured as 93% (F1 Score). As a personalized GenAI model and application, the study is supposed to support visitors who visit the Turkish World Geography. By the designed GENAI model, the study will contribute to the theory and practice by demonstrating the usability of digital technologies in tourism, for the Turkic State Region.

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Bu Makaleye Atıf Yap

Sever, M. M. (2025). TÜRK DEVLETLERİNİN KÜLTÜREL VE TURİZM VERİLERİYLE İNCE AYARI YAPILMIŞ ÜRETKEN YAPAY ZEKA MODELİ. Avrasya Etüdleri, Sayı: 64, 97–120. https://ajindex.com/articles/1196852

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