Adelaide University Industry Project - Yong Kheng Beh
Welcome Yong Kheng!
Yong Kheng Beh joined our SAcommunity Team for her University of Adelaide SET (Sciences, Engineering and Technology) Industry Project for her Masters of Computing and Innovation Trimester 1, 2024: 27 February 2024 - 2024.
She is completing her industry project onsite with SAcommunity at the Connecting Up Office, Infoxchange for 2 days (15 hours) a week with her Industry Project Team members: Violet Zewei You, Jamie Jiemin Zhang and Clover Xinyue Luo.
Personal Biography
Yong Kheng is currently a second-year student studying Masters of Computing and Innovation at the University of Adelaide. In 2014, she obtained her Bachelor of Medicine and Bachelor of Surgery (MBBS) from the University of Malaya, Malaysia, and accrued 8 years of experience working as a doctor. In December 2023 - February 2024, she completed a summer research project scholarship at the Australian Institute of Machine Learning (AIML), where she explored the application of machine learning models in predicting patient outcomes following cardiac surgery.
At Connecting Up, Yong Kheng and her teammates are planning to contribute to the SAcommunity website by developing and integrating a chatbot. This initiative aims to enhance clients' search experience for their Masters Industry Project. When not studying, Yong Kheng, who is a plant and animal lover, spends some of her free time volunteering at the Adelaide Botanic Gardens and with the RSPCA at their animal shelter.
Yong Kheng's future goal is to fully utilize her knowledge in both medical and computer science and contribute to the medical field using technology. She aims to incorporate technology into medical industry to optimize doctors' work performance and enhance accessibility and healthcare experiences for patients.
Image: Project Initation Launch Meeting with Client 15 March 2024
Image: Project Initation Launch Meeting with Client 15 March 2024 Work experience - Internal and External Events, Connections and Networks
Volunteers and interns are encouraged to attend monthly SAcommunity Team meetings, Connecting Up staff meetings, as well as quarterly all-staff Infoxchange Town Hall meetings to understand more about the organisation as a whole.
Organisation-wide news, events and projects are communicated through the staff channels, with weekly CEO Updates from David Spriggs, informal 'Lunch and Learn' educational sessions, and network meetings create connections with staff and other volunteers. Interns are also given opportunities to attend stakeholder and partner events.
Relevant meetings Yong Kheng has attended include:
IX Stakeholder Events
Data Catalyst Network (DCN): Brings together people from across sectors, to break cycles of disadvantage through the innovative use of data.
Participants of the Data Catalyst Network will advance their data maturity while sharing and improving data insights through unique cross-sector partnerships to disrupt disadvantage. As a collective, the network will harness data and knowledge from the not-for-profit community sector, academia, government and business to better use and manage data to improve the lives of people across Australia.
DCN: Augmented Intelligence; Combining Organisation Data with Large Language Models 29 February 2024
Associate Professor Amir Aryani, Head of the Social Data Analytics Lab at Swinburne University.
The webinar was presented by Associate Professor Amir Aryani from Swinburne University of Technology, focusing primarily on Retrieval-Augmented Generation (RAG) with open-source Large Language Models (LLMs). He began with a simple introduction to Generative AI and highlighted the privacy concerns associated with entrusting data to Generative AI platforms such as ChatGPT, Gemini, and others.
The proposed solution for privacy protection involves downloading an open-source LLM and operating it behind a firewall. However, open-source LLMs may lack updated knowledge or may not contain specific information required for client interaction. This is where RAG comes into play. RAG, an augmented retrieval intelligence, utilizes artificial intelligence to retrieve information from a database to generate more accurate responses.
In conclusion, using RAG with open-source LLMs hosted on proprietary infrastructure can mitigate the risks associated with data privacy and security, allowing not-for-profit organizations to offer more responsive community support. Nonetheless, implementing RAG with LLMs poses additional concerns, including data management, infrastructure requirements, talent and skill acquisition, maintenance, cost, and ongoing monitoring for ethical and transparent AI usage.
The timing of this webinar couldn't be better, as my team and I are currently developing a chatbot for the SAcommunity.org website as part of our Master of Computing and Innovation Project. The insights gained from the webinar have provided us with a clearer direction for initiating our chatbot project.
