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[22 - 26 April 2024] Facilitating Learning and Research with Generative AI: Suggestions from Librarians (via Zoom)

by Learning and Research Services HKUL on 2024-04-13T00:00:00+08:00 | 0 Comments


Dear staff and students,  

We are excited to invite you to join the training series, "Facilitating Learning and Research with Generative AI: Suggestions from Librarians". This online series covers:  

  • insights of librarians into the development of Artificial Intelligence (AI) and Generative AI (GenAI); 
  • applications of GenAI in university learning contexts;
  • the challenges and ethical use of AI technology;
  • practical techniques and real-life examples of using AI technologies to enhance learning and research experiences, with GenAI tools for literature search, text generation, image creation, slides generation and speech coaching; and
  • advanced topics in AI model training and fine-tuning.

Join the 6 training sessions at:

Session 1: Introduction to AI, Generative AI, and Large Language Models 


  • Ms. Katherine Choi (Assistant Librarian, HKU Libraries) 
  • Mr. Terry Chung (Digital Scholarship Librarian, HKU Libraries) 
  • Dr. K. M. Ku (Associate Librarian, HKU Libraries) 
  • Ms. Mahboobani Vanessa Ramesh (Data Services & Information Research Librarian, HKU Libraries) 
  • Mr. Gary Wong (Systems Librarian, HKU Libraries) 

This session provides a comprehensive understanding of AI, its historical context, the role of neural networks, the importance of datasets in training, and the human involvement in shaping AI systems. Practical implementations and the benefits of using AI will also be discussed. It covers the following topics: 

  • acknowledging the pioneering works of scientists and their contributions since the 1950s.  

  • discussing the development of AI over the years, tracing major milestones and breakthroughs that have shaped the current landscape.  

  • exploring the concept of neural networks, shedding light on their architecture and how they have revolutionized AI systems by mimicking the human brain's functionality. 

  • discussing Generative AIs that can generate creative and innovative content. 

22 April 2024 (Monday)
12:30 – 13:30  

Recording (Login with SSO)

Session 2: Facilitating Your Research with Scite 

Speaker: Mr. Wu Yan, Trainer from Scite 

This session is designed to introduce features that Scite offers on the general level, with searches and AI chats on the detailed level. During the workshop, participants will learn about 

  • using scenarios and an overview of functionalities. 

  • utilising and benefit from smart citation. 

  • supercharging Large Language Models (LLMs) to accelerate academic study.

22 April 2024 (Monday) 14:30 – 15:30  

Recording (Login with SSO)

Session 3: Enhancing Your Learning and Research Experience with Generative AI Tools 

Speaker: Ms. Cindy Liang (Learning Experience Instructor, HKU Libraries) 

This session is suitable for novice learners and researchers. It covers the use of Generative AI (GenAI) tools to enhance learning and research experiences, featuring HKU ChatGPT as an example. An overview of other selected GenAI tools to fit different learning and research needs will also be introduced. By the end of this session, participants will be able to: 

  • recognise the available GenAI tools for learning and research at HKU. 

  • practise using GenAI tools tactfully. 

  • understand the dos and don'ts of using GenAI tools in general and at HKU. 

23 April 2024 (Tuesday)  
12:30 – 13:30  

Recording (Login with SSO)

Session 4: Falsely Accused of AI Cheating? How to avoid this?

Speaker: Dr. Woei Fuh Wong (Consulting Manager, iGroup Asia Pacific)

The session is designed to help attendees navigate these issues and use AI technology responsibly in their research. It tackles the challenge of being falsely accused of AI-assisted cheating, especially with the increasing reliance on tools like ChatGPT. It briefly explains what constitutes cheating, including plagiarism and falsification. Researchers will learn how to properly leverage ChatGPT for publishing by addressing key topics such as: 

  • The risks of presenting AI-generated work as one's own;
  • The importance of proper acknowledgment when rephrasing content;
  • Correct citation practices to avoid errors; and
  • Implementing disclaimers to distinguish between original and AI-generated content clearly.

24 April 2024 (Wednesday) 
12:30 – 13:30 

Recording (Login with SSO)

Session 5: Unlocking the Potential of Generative AI Tools for Effective Presentations: Slides Creation, Image Generation and Speech Coach


  • Mr. Terry Chung (Digital Scholarship Librarian, HKU Libraries) 
  • Ms. Chloe Ng (Learning and Research Services, HKU Libraries) 
  • Ms. Kayla Ng (Technology Support Services, HKU Libraries) 
  • Ms. Vivian Qiu (Learning and Research Services, HKU Libraries) 

In this session, participants will unlock the transformative potential of Generative AI (GenAI) tools to enhance the efficiency and impact of their presentations. Educators and students alike will benefit from a hands-on exploration of the latest GenAI technologies and learn how to integrate them into their preparation process. The session will cover: 

  • Gamma: slides generation 

  • Microsoft Designer and Stable Diffusion: crafting custom imagery 

  • Yoodli: the AI speech coach 

25 April 2024 (Thursday) 12:30 – 13:30 

Recording (Login with SSO)

Session 6: AI Model Training and Fine-Tuning: Chatbots, Image Recognition, and Graph Neural Networks 


  • Ms. Katie Kwong (IT Manager, HKU Libraries) 
  • Ms. Jessica Lee (Executive Officer, HKU Libraries) 
  • Mr. Jack Lo (IT Manager, HKU Libraries) 
  • Ms. Christina Wong (Technical Services, HKU Libraries) 
  • Mr. Gary Wong (Systems Librarian, HKU Libraries) 

This session will focus on deconstructing the complexities of AI model development and provide practical guidance on the training and refinement stages. Topics discussed cover: 

  • a comprehensive overview of AI model training and fine-tuning, with a specific focus on three essential areas: improving the capabilities of Large Language Model (LLM) by RAG and fine-tuning, image/object recognition model training, and graph neural network model training. 

  • insights about underlying processes involved in training and fine-tuning AI models. 

  • practical techniques to enhance chatbot capabilities, including RAG or LLM fine-tuning.  

  • fundamental steps of training AI models and the diverse applications they offer. 

26 April 2024 (Friday)  
12:30 – 13:30  

Recording (Login with SSO)

We look forward to seeing you at the training sessions! 

For enquiries, please contact Email-A-Librarian (To: Library Training).  


Best regards,
Learning and Research Services

HKU Libraries

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