This article explores the integration of large language models (LLMs), such as ChatGPT, into modern web applications. It discusses the practical benefits—enhanced user interaction, automation, and intelligent response generation—alongside potential security risks including data exposure, bias propagation, and misuse. A technical prototype is implemented to assess the impact of LLMs on performance and user experience metrics. Empirical analysis shows measurable gains in task efficiency but highlights challenges in privacy and latency. The study provides a framework for ethical, efficient, and secure deployment of LLMs in dynamic web environments
This article explores the integration of large language models (LLMs), such as ChatGPT, into modern web applications. It discusses the practical benefits—enhanced user interaction, automation, and intelligent response generation—alongside potential security risks including data exposure, bias propagation, and misuse. A technical prototype is implemented to assess the impact of LLMs on performance and user experience metrics. Empirical analysis shows measurable gains in task efficiency but highlights challenges in privacy and latency. The study provides a framework for ethical, efficient, and secure deployment of LLMs in dynamic web environments
| № | Author name | position | Name of organisation |
|---|---|---|---|
| 1 | Shoyqulov S.Q. | Professor | Karshi State University |
| № | Name of reference |
|---|---|
| 1 | 1.OpenAI. (2023). GPT-4 technical report.2.Huang, Y. et al. (2021). Enhancing web chatbots with transformers. Journal of UX Research, 13(2).3.Liu, Q. et al. (2022). Measuring token usage in LLM-based applications. Applied NLP Journal, 7(1).4.Zhang, L. et al. (2023). Hallucination risks in generative language models. IEEE Transactions on AI, 5(4).5.Bender, E. M. et al. (2021). On the dangers of stochastic parrots. FAccT '21: ACM Conference on Fairness, Accountability, and Transparency.6.Shoyqulov Sh.Q. Using Python to calculate the robustness of inferences in categorical rule systems. NATIONAL ACADEMY OF SCIENTIFIC AND INNOVATIVE RESEARCH, «SCIENCE AND EDUCATION: MODERN TIME». (VOLUME 1 ISSUE 10, 2024), ISSN 3005-4729 / e-ISSN 3005-47377.Shoyqulov Sh.Q. Modern methods and means of protecting information on the Internet. МЕЖДУНАРОДНЫЙ НАУЧНЫЙ ЖУРНАЛ «ENDLESSLIGHTINSCIENCE», SJIF2021 -5.81. 2022 -5.94, октябрь 2024 г. Туркестан, Казахстан,8.Shoyqulov Sh.Q. Analysis and optimization of graphics programming in C# using Unity. «Science and innovation» xalqaro ilmiy jurnali, Volume 3 Issue 10, 9.Shoyqulov Sh.Q. Main Internet threats and ways to protect against them. Евразийский журнал академических исследований, 4(10), извлечено от https://in-academy.uz/index.php/ejar/article/view/3870910.Shoyqulov Sh.Q. Using Python programming in computer graphics. «Science and innovation» xalqaro ilmiy jurnali, Volume 3 Issue 1011.Shoyqulov Sh.Q. Data visualization in Python, EURASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES (Т. 4, Выпуск 10, сс. 15–22).12.Shoyqulov Sh.Q. Graphical programming of 2D applications in C#. EURASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES (Т. 4, Выпуск 10, сс. 7–14).13.Shoyqulov Sh.Q. Methods for plotting function graphs in computers using backend and frontend internet technologies. Published in European Scholar Journal (ESJ). Spain, Impact Factor: 7.235, https://www.scholarzest.com, Vol. 2 No. 6, June 2021, ISSN: 2660-5562.14.Shoyqulov Sh.Q. Multimedia possibilities of Web-technologies. Eurasian journal of mathematical, theory and computer sciences, UIF = 8.3 , SJIF = 5.916, ISSN 2181-2861, Vol. 3 Issue 3, Mart 2023, p. 11-15 |