GhostScript

What Is it? Ghostscript is an interpreter for the PostScript®  language and PDF files. It is available under either the GNU GPL Affero license or  licensed for commercial use from Artifex Software, Inc. It has been under active development for over 30 years and has been ported to several different systems during this time. Ghostscript consists of a PostScript interpreter layer and a graphics…

The Technology Acceptance Model

The background According to the Technology Acceptance Model (TAM), the acceptance of new technological systems depends on two external factors which are considered as measurements of intention to use and likelihood of adoption. The users’ perception of value extraction from that technology is defined as perceived usefulness. The level of effort as a usability parameter…

Personalized Artificial intelligence explainability based on the Technology Acceptance Model and the user’s literacy Level

Abstract The developed approach in this research, centers around personalisation derived from targeted clustering techniques based on the principles of the Technology Acceptance Model – TAM. By employing targeted clustering, we create tailored explanations for users based on their unique characteristics and requirements. To validate the effectiveness of our methodology, we conducted a case study…

Transformer Model

The Transformer model has been very influential in the field of NLP and constitutes the engine of the state-of-the-art LLMs, still powering the ChatGPT engines as of the time of the writing. In the following the architecture of a Transformer is presented, along with a description of each step and a brief explanation of the related…

Diagnostic Pathways

The approach The diagnostic procedure in medicine often combines different approaches, which are influenced by the context, patient symptoms, clinician expertise, and available diagnostic tools [1]. As illustrated and summarized in the following figure, the diagnostic process begins with gathering patient data, including a medical history and possibly a physical examination. This information is then…

Dialogue Rule augmentation

Parameters main(q, d, m): The primary function that takes in the Question (q), Domain (d), and Medical (m) parameters and returns the Answer (a) and Grade (grade). • Decision Logic: Implements the conditional logic as per the pseudocode to determine the appropriate answer a. • answer_content(): A placeholder function to generate the answer content c.…

Augmenting Large Language Models with Rules for Enhanced Domain-Specific Interactions

Abstract In this paper, we present a novel Artificial Intelligence (AI) -empowered system that enhances large language models and other machine learning tools with rules to provide primary care diagnostic advice to patients. Specifically, we introduce a novel methodology, represented through a process diagram, which allows the definition of generative AI processes and functions with…

Semantic Grouping of Features for Predictive Modeling in Machine Learning

Background Semantic grouping of features refers to organizing related features into meaningful clusters based on their inherent relationships or domain-specific knowledge. In predictive modeling, this process is crucial for improving model interpretability, performance, and robustness. By clustering features that share a common context or meaning, we can reduce dimensionality, simplify feature engineering, and potentially enhance…