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 …

To address challenges in the digital economy's landscape of digital intelligence, large
language models (LLMs) have been developed. Improvements in computational power and …

Abstract Generative Artificial Intelligence models are Artificial Intelligence models that
generate new content based on a prompt or input. The output content can be in various …

Voice assistants are spreading in various environments, such as houses and cars, bringing
the possibility of controlling heterogeneous Internet of Things devices with simple voice …

GUIs have long been central to human-computer interaction, providing an intuitive and
visually-driven way to access and interact with digital systems. The advent of LLMs …

Conversational Speech Synthesis (CSS) aims to express a target utterance with the proper
speaking style in a user-agent conversation setting. Existing CSS methods employ effective …

In the pursuit of enhancing domain-specific Large Language Models (LLMs), Retrieval-
Augmented Generation (RAG) emerges as a promising solution to mitigate issues such as …

In recent years, Large Language Models (LLMs) have demonstrated remarkable capabilities
across a wide array of text-centric tasks. However, theirlarge'scale introduces significant …

To enhance productivity and to streamline workflows, there is a growing trend to embed
large language model (LLM) functionality into applications, from browser-based web apps to …

By integrating external knowledge, Retrieval-Augmented Generation (RAG) has become an
effective strategy for mitigating the hallucination problems that large language models …