Architecting Next-Generation Software Systems with Generative AI and Large Language Models: Challenges, Opportunities, and Best Practices
Independent Researcher, Writuraj Sarma, Sundar Tiwari, Independent Researcher, Saswata Dey, Independent Researcher · International Journal of Innovative Research in Computer and Communication Engineering · 2023
Generative AI, together with the LLMs, progresses at high speed and offers impractical new ways for systems architecture in software systems based on automation, personalization, and data processing opportunities. These technologies are revolutionizing the conventional software development models and patterns that birth smart, elastic, and tunable systems. However, their incorporation in software architectures poses different problems, among them being the problems arising from complexity, speed, ethical dilemmas, and the issue of accountability and transparency. This article discusses how the architectures of the software have evolved in advanced intelligent systems, focusing on the opportunities and problems of using generative AI and LLMs. It also describes properly designing and implementing such systems by stressing flexibility, security issues, model selection, and usability. Regarding future trends, more advanced integration with new technologies, more stringent government regulations, and efficiency tied to corporate sustainability will come. By following these principles of AI, an organization can obtain the best results from AI-driven models and solutions, resulting in improved productivity, creativity, and user satisfaction.