The integration of Large Language Models (LLMs) and Edge Intelligence (EI) introduces a
groundbreaking paradigm for intelligent edge devices. With their capacity for human-like …

The software engineering landscape is undergoing a significant transformation with the
advent of artificial intelligence (AI). AI technologies are poised to redefine traditional …

Purpose The purpose of this study is to comprehensively examine the ethical implications
surrounding generative artificial intelligence (AI). Design/methodology/approach Leveraging …

This Master's thesis investigates the transformative potential of Artificial Intelligence (AI)
integration within the software development industry. Focusing on tools that enhance coding …

Large language models are redefining software engineering by implementing AI-powered
techniques throughout the whole software development process, including requirement …

Abstract Model-driven engineering (MDE) has seen significant advancements with the
integration of machine learning (ML) and deep learning techniques. Building upon the …

Generative Artificial Intelligence (GenAI) is being adopted for a number of Software
Engineering activities, mostly centering around coding, such as code generation, code …

This paper represents a groundbreaking paradigm shift in network optimization. Departing
from traditional static methodologies, this innovative approach harnesses the power of …

OpenAI's ChatGPT (GPT-4 and GPT-4o) and other Large Language Models (LLMs) like
Microsoft's Copilot, Google's Gemini 1.5 Pro, and Antrophic's Claude 3.5 Sonnet can be …

Large language models and other foundation models (FMs) boost productivity by
automating code generation, supporting bug fixes, and generating documentation. We …