Introduction to AI, ML, Federated Learning, and LLM in Software Engineering

Abstract

This research investigates the transformative intersection of artificial intelligence (AI), machine learning (ML), federated learning, and large language models (LLM) within the realm of Software Engineering. The study contextualizes the historical evolution of these technologies, highlighting pivotal milestones that have shaped their integration into the fabric of software development. The primary objective is to provide a comprehensive overview of how AI, ML, federated learning, and LLM are revolutionizing Software Engineering practices. The research employs a multifaceted methodology comprising literature reviews, case studies, and real-world examples to analyze the impact of these technologies. Key findings include substantial improvements in development efficiency, enhanced collaboration, and the adaptive nature of software solutions. The proposed methodology emphasizes interdisciplinary collaboration, ethical considerations, practical implementation guidance, scalability strategies, and a continuous feedback loop.