Optimizing classification of diseases through language model analysis of symptoms
This paper investigated the use of language models and deep learning techniques for
automating disease prediction from symptoms. Specifically, we explored the use of two …
automating disease prediction from symptoms. Specifically, we explored the use of two …
Global insights and the impact of generative AI-ChatGPT on multidisciplinary: a systematic review and bibliometric analysis
In 2022, OpenAI's unveiling of generative AI Large Language Models (LLMs)-ChatGPT,
heralded a significant leap forward in human-machine interaction through cutting-edge AI …
heralded a significant leap forward in human-machine interaction through cutting-edge AI …
Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms?
Recent advances in the context of deep learning have led to the development of generative
artificial intelligence (AI) models which have shown remarkable performance in complex …
artificial intelligence (AI) models which have shown remarkable performance in complex …
[HTML][HTML] Geosystems risk and uncertainty: The application of ChatGPT with targeted prompting
ChatGPT, a prominent large language model (LLM), is being increasingly used across a
wide range of scientific fields. Geosystem engineers and researchers are also posed to …
wide range of scientific fields. Geosystem engineers and researchers are also posed to …
Wildfires and social media discourse: exploring mental health and emotional wellbeing through Twitter
Introduction The rise in global temperatures due to climate change has escalated the
frequency and intensity of wildfires worldwide. Beyond their direct impact on physical health …
frequency and intensity of wildfires worldwide. Beyond their direct impact on physical health …
Prompt Design through ChatGPT's Zero-Shot Learning Prompts: A Case of Cost-Sensitive Learning on a Water Potability Dataset
K Phorah, M Sibiya, M Sumbwanyambe - Informatics, 2024 - mdpi.com
Datasets used in AI applications for human health require careful selection. In healthcare,
machine learning (ML) models are fine-tuned to reduce errors, and our study focuses on …
machine learning (ML) models are fine-tuned to reduce errors, and our study focuses on …
A Neighborhood-Similarity-Based Imputation Algorithm for Healthcare Data Sets: A Comparative Study
The increasing computerisation of medical services has highlighted inconsistencies in the
way in which patients' historic medical data were recorded. Differences in process and …
way in which patients' historic medical data were recorded. Differences in process and …
Preface to the Special Issue on Computational Linguistics and Natural Language Processing
PZ Revesz - Information, 2024 - mdpi.com
Computational linguistics and natural language processing are at the heart of the AI
revolution that is currently transforming our lives. We are witnessing the growth of these …
revolution that is currently transforming our lives. We are witnessing the growth of these …
ChatGPT in Education: Ethical Considerations and Sentiment Analysis
S Yang, Y Dong, ZG Yu - International Journal of Information and …, 2024 - igi-global.com
AI chatbots, eg ChatGPT, are becoming increasingly popular in education as a means to
enhance student learning experiences and improve teaching efficiency. This study utilizes …
enhance student learning experiences and improve teaching efficiency. This study utilizes …
Exploring the Use of Generative AI in Education: Broadening the Scope
Artificial Intelligence (AI) already plays a significant role in education and society altogether.
With the rapid and largely impactful development in the field of generative AI, we must …
With the rapid and largely impactful development in the field of generative AI, we must …