Introduction
This LibGuide is designed to provide comprehensive information about Generative AI, including its tools, applications in research, limitations, and detection methods. Additionally, it addresses the ethical and legal considerations surrounding the use of Generative AI, ensuring that users understand both its potential and its responsibilities.
AKU Libraries Catalogue, SAFARI
AKU IR, eCommons
eCommons@AKU is a digital archive offering access to the research, scholarly output and publications of the Aga Khan University. The objective is to preserve, promote and provide access to the University's research and publications under one umbrella, in full text wherever possible.
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Faculty of Health Sciences (FHS) library users can download over 6 million full-text articles from AKU subscribed databases, directly from PubMed.
Who We Are
Generative AI
Generative AI refers to a class of artificial intelligence systems designed to generate new content or data based on the patterns and information they have learned from training datasets. Unlike traditional AI, which may simply analyze and classify existing data, generative AI creates new, original outputs, such as text, images, audio, or video. Read more
