Harnessing GenAI in Your Academic Journey

 [Provided by the Library] 

A self-paced online course tailor-made for PolyU students to get familiar with library resources for your learning and research. You need reliable sources of information for AI content cross-checking!

 [Provided by the Library] 

A PolyU Library guide that helps researchers at all levels to better understand the research process and gain easy access to the information pertinent to their research needs.

 [Provided by the Library] 

A PolyU Library guide to walk you through the process of doing a literature review

 [Free Online Resource] 

An online course on YouTube that introduces a series of hands-on skills to help you evaluate the information you read online.

Provided by Crash Course.

 [Provided by the Library] 

An online learning platform offering interactive data and AI training courses. Watch the recording of the on-board training of DataCamp.

 [Provided by ITS] 

ITS provides a variety of workshops covering skills for research, including the use of AI. Recordings and materials are also available.

 [Free Online Resource] 

A 45-min introductory course that explains what Generative AI is, how it is used, and how it differs from traditional machine learning methods.

Provided by Google.

 [Free Online Resource] 

An online course with 2 parts, namely Introduction to AI and Building AI, which introduces theories and applications of AI with exercises.

Created by the University of Helsinki and MinnaLearn.

 [Free Online Resource] 

A series of YouTube videos introducing basic AI concepts and applications.

Provided by IBM Technology.

 [Free Online Resource] 

A series of YouTube videos explaining how LLMs work, their applications, and associated risks.

Provided by IBM Technology.

A table comparing popular GenAI Tools for Research.

From the library guide of HKUST Library

A blog post discusses deals between academic publishers and AI companies to use scholarly content for AI training. It highlights how they will impact researchers.

By Jennifer Gu, HKUST Library

A comprehensive assessment tool designed to evaluate the transparency of major model developers like OpenAI, Google, and Meta based on their transparency practices for their flagship models. It helps general users make more informed choices about which AI tools to use, as well as promotes public accountability, scientific innovation, and effective governance.

Developed by The Center for Research on Foundation Models (CRFM).

A discussion of the transformative impact of AI on research, emphasizing the need for ethical and rigorous use of AI tools to maintain research integrity. It also recommends considerations for researchers when using AI tools.

By Dr. Josephine Woodhams, Acting Head of Research Integrity, UKRIO.

A ranking and analysis of the top 100 generative AI consumer apps, highlighting trends, new entrants, and popular categories in the AI app landscape.

By Olivia Moore, a16z.