Figure 8 - available via license: Creative Commons Attribution 4.0 International
Content may be subject to copyright.
This is a simple trojan that listens for incoming connections and executes any data received from the client.
Source publication
This paper investigates the impacts of the rapidly evolving landscape of generative Artificial Intelligence (AI) development. Emphasis is given to how organizations grapple with a critical imperative: reevaluating their policies regarding AI usage in the workplace. As AI technologies advance, ethical considerations, transparency, data privacy, and...
Similar publications
Purpose
The global prevalence of vaccine misinformation has underscored the crucial necessity to combat false information and explore innovative solutions like chatbots. These artificial intelligence (AI)-powered tools play a pivotal role in disseminating accurate information and mitigating the adverse effects of misinformation. This study aimed to...
Vision-Language Models (VLMs) have demonstrated remarkable capabilities in understanding multimodal inputs and have been widely integrated into Retrieval-Augmented Generation (RAG) based conversational systems. While current VLM-powered chatbots can provide textual source references in their responses, they exhibit significant limitations in refere...
Purpose
The potential of Large Language Models (LLMs) in enhancing a variety of natural language tasks in clinical fields includes medical imaging reporting. This pilot study examines the efficacy of a retrieval-augmented generation (RAG) LLM system considering zero-shot learning capability of LLMs, integrated with a comprehensive database of PET r...
This article examines the implementation of artificial intelligence-powered chatbots in public sector benefits enrollment processes, focusing on their potential to streamline operations, enhance user experience, and reduce administrative burdens. Through a comprehensive analysis of case studies in healthcare and social security benefits programs, w...