Redefining Software Development: Fine-Tuning Generative AI and Large Language Models for Intelligent Automation

This study explores the transformative impact of Generative AI and Large Language Models (LLMs) on software development by leveraging intelligent automation. It delves into sophisticated methods for refining LLMs to enhance code generation, improve adaptive learning abilities, and support autonomous software engineering processes [1] [2]. This study investigates how these technologies can be integrated into current development workflows to tackle issues such as code quality, scalability, and ethical concerns. Innovative strategies to boost model performance have been introduced, such as targeted data augmentation and domain-specific pre-training. The results showed notable advancements in the accuracy, efficiency, and adaptability of code generation across various programming languages and frameworks. Finally, the study discusses the implications of these developments for future software development and outlines a roadmap for further research and industrial implementation.