A Developed Graphical User Interface-Based on Different Generative Pre-trained Transformers Models

Ekrem Küçük; İpek Balıkçı Çiçek; Zeynep Küçükakçalı; Cihan Yetiş; Cemil Çolak

Makale detayları

A Developed Graphical User Interface-Based on Different Generative Pre-trained Transformers Models

Yazarlar:

Ekrem Küçük | İpek Balıkçı Çiçek | Zeynep Küçükakçalı | Cihan Yetiş | Cemil Çolak

Yayıncı:

Ordu University

Ana Başlıklar:

Klinik Tıp Bilimleri (Diğer)

Dergi:

ODÜ Tıp Dergisi Vol.11 Issue 1, pp.18-32

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001316213

pISSN:

2148-6816

Anahtar kelimeler:

Özet:

 Objective: The article investigates the integration of advanced Generative Pretrained Transformers GPT models into a user-friendly Graphical User Interface GUI. The primary objective of this work is to simplify access to complex Natural Language Processing NLP tasks for a diverse range of users, including those with limited technical background. Method: The development process of the GUI was comprehensive and systematic: Needs Assessment: This stage involved understanding the requirements and expectations of potential users to ensure the GUI effectively addresses their needs. Preliminary Design and Development: The initial designs were created and developed into a functional GUI, emphasizing the integration of features supporting various NLP tasks like text summarization, translation, and question-answering. Iterative Refinement: Continuous improvements were made based on user feedback, focusing on enhancing user experience, ease of navigation, and customization capabilities. Results: The developed GUI successfully integrated GPT models, including GPT-4 Turbo and GPT-3.5, resulting in an intuitive and adaptable interface. It demonstrated efficiency in performing various NLP tasks, thereby making these advanced language processing tools accessible to a broader audience. The GUIs design, emphasizing user-friendliness and adaptability, was particularly noted for its ability to cater to both technical and non-technical users. Conclusion: In conclusion, the article illustrates the significant impact of combining advanced GPT models with a Graphical User Interface to democratize the use of NLP tools. This integration not only makes complex language processing more accessible but also marks a pivotal step in the inclusive application of AI technology across various domains. The successful implementation of the GUI highlights the potential of AI in enhancing user interaction and broadening the scope of technology usage in everyday tasks.

 Objective: The article investigates the integration of advanced Generative Pretrained Transformers GPT models into a user-friendly Graphical User Interface GUI. The primary objective of this work is to simplify access to complex Natural Language Processing NLP tasks for a diverse range of users, including those with limited technical background. Method: The development process of the GUI was comprehensive and systematic: Needs Assessment: This stage involved understanding the requirements and expectations of potential users to ensure the GUI effectively addresses their needs. Preliminary Design and Development: The initial designs were created and developed into a functional GUI, emphasizing the integration of features supporting various NLP tasks like text summarization, translation, and question-answering. Iterative Refinement: Continuous improvements were made based on user feedback, focusing on enhancing user experience, ease of navigation, and customization capabilities. Results: The developed GUI successfully integrated GPT models, including GPT-4 Turbo and GPT-3.5, resulting in an intuitive and adaptable interface. It demonstrated efficiency in performing various NLP tasks, thereby making these advanced language processing tools accessible to a broader audience. The GUIs design, emphasizing user-friendliness and adaptability, was particularly noted for its ability to cater to both technical and non-technical users. Conclusion: In conclusion, the article illustrates the significant impact of combining advanced GPT models with a Graphical User Interface to democratize the use of NLP tools. This integration not only makes complex language processing more accessible but also marks a pivotal step in the inclusive application of AI technology across various domains. The successful implementation of the GUI highlights the potential of AI in enhancing user interaction and broadening the scope of technology usage in everyday tasks.

 Objective: The article investigates the integration of advanced Generative Pretrained Transformers GPT models into a user-friendly Graphical User Interface GUI. The primary objective of this work is to simplify access to complex Natural Language Processing NLP tasks for a diverse range of users, including those with limited technical background. Method: The development process of the GUI was comprehensive and systematic: Needs Assessment: This stage involved understanding the requirements and expectations of potential users to ensure the GUI effectively addresses their needs. Preliminary Design and Development: The initial designs were created and developed into a functional GUI, emphasizing the integration of features supporting various NLP tasks like text summarization, translation, and question-answering. Iterative Refinement: Continuous improvements were made based on user feedback, focusing on enhancing user experience, ease of navigation, and customization capabilities. Results: The developed GUI successfully integrated GPT models, including GPT-4 Turbo and GPT-3.5, resulting in an intuitive and adaptable interface. It demonstrated efficiency in performing various NLP tasks, thereby making these advanced language processing tools accessible to a broader audience. The GUIs design, emphasizing user-friendliness and adaptability, was particularly noted for its ability to cater to both technical and non-technical users. Conclusion: In conclusion, the article illustrates the significant impact of combining advanced GPT models with a Graphical User Interface to democratize the use of NLP tools. This integration not only makes complex language processing more accessible but also marks a pivotal step in the inclusive application of AI technology across various domains. The successful implementation of the GUI highlights the potential of AI in enhancing user interaction and broadening the scope of technology usage in everyday tasks.

 Amaç: Makale, gelişmiş Üretken Önceden Eğitimli Dönüştürücüler GPT modellerinin kullanıcı dostu Grafik Kullanıcı Arayüzüne GUI entegrasyonunu araştırmaktadır. Bu çalışmanın temel amacı, sınırlı teknik altyapıya sahip kullanıcılar da dahil olmak üzere çeşitli kullanıcıların karmaşık Doğal Dil İşleme NLP görevlerine erişimini kolaylaştırmaktır. Yöntem: GUInin geliştirme süreci kapsamlı ve sistematikti: Gereksinim Değerlendirmesi: Bu aşama, potansiyel kullanıcıların gereksinimlerini ve beklentilerini anlamayı içeriyordu ve GUInin bu gereksinimleri etkili bir şekilde ele almasını sağlamak için yapıldı. Ön Tasarım ve Geliştirme: İlk tasarımlar, metin özetleme, çeviri ve soru cevaplama gibi çeşitli NLP görevlerini destekleyen özelliklerin entegrasyonunu vurgulayan işlevsel bir GUI olarak oluşturuldu ve geliştirildi. Yinelemeli İyileştirme: Kullanıcının geri bildirimlerine dayalı olarak kullanıcı deneyiminin, gezinme kolaylığının ve özelleştirme yeteneklerinin geliştirilmesine odaklanan sürekli iyileştirmeler yapıldı Bulgular: Geliştirilen GUI, GPT-4 Turbo ve GPT-3.5 gibi GPT modellerine başarılı bir şekilde entegre edildi ve sezgisel ve uyarlanabilir bir arayüz ortaya çıkarıldı. Farklı NLP görevlerini etkili bir şekilde gerçekleştirme yeteneği göstererek, bu gelişmiş dil işleme araçlarını daha geniş bir kitleye erişilebilir hale getirdi. Kullanıcı dostu ve uyarlanabilirliği vurgulayan GUI tasarımı, teknik ve teknik olmayan kullanıcılara hitap etme yeteneği özellikle dikkat çekti. Sonuç: Sonuç olarak, makale, gelişmiş GPT modellerini Grafik Kullanıcı Arayüzü ile birleştirmenin NLP araçlarının kullanımını demokratikleştirmedeki önemli etkisini göstermektedir. Bu entegrasyon, karmaşık dil işleme araçlarını sadece daha erişilebilir hale getirmekle kalmaz, aynı zamanda çeşitli alanlarda yapay zeka AI teknolojisinin kapsayıcı uygulamasında da bir dönüm noktası işaret eder. GUInin başarılı bir şekilde uygulanması, AInin kullanıcı etkileşimini geliştirme potansiyelini ve günlük görevlerde teknoloji kullanımının kapsamını genişletme potansiyelini vurgular.

Makale detayları

A Developed Graphical User Interface-Based on Different Generative Pre-trained Transformers Models

Yazarlar:

Ekrem Küçük | İpek Balıkçı Çiçek | Zeynep Küçükakçalı | Cihan Yetiş | Cemil Çolak

Yayıncı:

Ordu University

Ana Başlıklar:

Klinik Tıp Bilimleri (Diğer)

Dergi:

ODÜ Tıp Dergisi Vol.11 Issue 1, pp.18-32

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001316213

pISSN:

2148-6816

Graphical User Interface (GUI)

Generative Pretrained Transformers (GPT) models

Natural Language Processing (NLP)

User-FriendlyGrafik Kullanıcı Arayüzü (GUI)

Üretken Önceden Eğitimli Dönüştürücüler (GPT) modelleri

Doğal Dil İşleme (NLP)

Kullanıcı Dostu

Erişilebilirlik

Sayı

Makale detayları

Yazarlar: Ekrem Küçük | İpek Balıkçı Çiçek | Zeynep Küçükakçalı | Cihan Yetiş | Cemil Çolak

Yayıncı: Ordu University

Ana Başlıklar: Klinik Tıp Bilimleri (Diğer)

Dergi: ODÜ Tıp Dergisi Vol.11 Issue 1, pp.18-32

Belge Tipi: Makale

Yayın Tarihi: 4/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001316213

pISSN: 2148-6816

Sayı

Yazarlar:

Ekrem Küçük | İpek Balıkçı Çiçek | Zeynep Küçükakçalı | Cihan Yetiş | Cemil Çolak

Yayıncı:

Ordu University

Ana Başlıklar:

Klinik Tıp Bilimleri (Diğer)

Dergi:

ODÜ Tıp Dergisi Vol.11 Issue 1, pp.18-32

Belge Tipi:

Makale

Yayın Tarihi:

4/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001316213

pISSN:

2148-6816