izvorni znanstveni rad
This paper delves into the application of artificial intelligence (AI) technology in the creation of web content, with a special emphasis on A/B testing as an optimization strategy. It analyses the way technical tools like Prisma, Next.js, Tailwind, and Clickhouse contribute to the development and analysis of web applications. The importance of Large Language Models (LLM) in developing interactive interfaces and providing application performance insights is also assessed, with a focus on user behavior analysis. The paper explores how AI, specifically tools like GPT-3.5-turbo, might enhance the process of creating content for the web. The usefulness and potential of AI in generating text are looked into in the context of the continued development of digital communication strategies. Methods such as A/B testing and performance monitoring have significance in evaluating the effectiveness of AI-generated content communicating with users. The work aims to provide an understanding of how the integration of AI and present-day technologies may increase user efficiency and satisfaction in web application development. The paper demonstrates the potential and constraints of applying AI in digital communication through theoretical and empirical research, emphasizing its relevance in shaping the future of web content.
artificial intelligence; content generation; web application development; A/B testing; LLM
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The ever-growing usage and adaptation of HTTP/3 in web traffic leverages Quick UDP Internet Connections (QUIC) as a transport protocol. QUIC is widely recognized for reduced latency, enhanced…
