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Yıl 2024, Cilt: 28, 326 - 341, 01.08.2024
https://doi.org/10.55549/epstem.1521963

Öz

Kaynakça

  • Karacali, H., Cebel, E., & Donum, N. (2024). Performance comparison of AI platforms in solving computer science problems. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 28, 326-341.

Performance Comparison of AI Platforms in Solving Computer Science Problems

Yıl 2024, Cilt: 28, 326 - 341, 01.08.2024
https://doi.org/10.55549/epstem.1521963

Öz

In the rapidly evolving landscape of artificial intelligence (AI), its significance and accelerated development are undeniable. AI has emerged as a cornerstone technology with profound implications across various domains, driving innovation and reshaping the way we approach complex problems. Particularly, the utilization of AI in coding tasks has garnered substantial attention, given its potential to streamline development processes and enhance the efficiency of software engineering practices. Against this backdrop, this paper presents a detailed comparative analysis of four different AI platforms, namely ChatGPT, Gemini, Blackbox, and Microsoft Copilot, in addressing key challenges within the realm of computer science, spanning natural language processing, image processing, and cybersecurity. The study focuses on leveraging the C++ programming language to develop solutions for these multifaceted problems across the aforementioned platforms. Each platform's outputs are meticulously evaluated on various parameters including accuracy, execution time, code size, and time complexity to provide a comprehensive understanding of their performance. Furthermore, an iterative optimization methodology is employed, entailing three rounds of refinement for the code produced by each platform, with the resultant outputs subjected to comparative analysis in each iteration. Through this rigorous approach, the paper not only elucidates the efficacy of different AI platforms in addressing diverse computational challenges but also underscores the iterative enhancement process on AI platforms for refining code quality and performance across multiple domains within computer science.

Kaynakça

  • Karacali, H., Cebel, E., & Donum, N. (2024). Performance comparison of AI platforms in solving computer science problems. The Eurasia Proceedings of Science, Technology, Engineering & Mathematics (EPSTEM), 28, 326-341.
Toplam 1 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yazılım Mühendisliği (Diğer)
Bölüm Makaleler
Yazarlar

Huseyin Karacali

Efecan Cebel

Nevzat Donum

Erken Görünüm Tarihi 24 Temmuz 2024
Yayımlanma Tarihi 1 Ağustos 2024
Gönderilme Tarihi 5 Şubat 2024
Kabul Tarihi 9 Nisan 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 28

Kaynak Göster

APA Karacali, H., Cebel, E., & Donum, N. (2024). Performance Comparison of AI Platforms in Solving Computer Science Problems. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 28, 326-341. https://doi.org/10.55549/epstem.1521963