Harry Smallbone [University of Western Australia]
Harry is a junior medical doctor in Western Australia working in internal medicine and a PhD candidate at the University of Western Australia investigating the use of artificial intelligence in paediatric anaesthesia. His Honours thesis was in using Computer Vision for myeloproliferative neoplasms. He has previously been a student at Pawsey Supercomputing Centre and is a sysadmin of MERLIN, a small GPU research cluster located within Perth Children's Hospital for research on sensitive healthcare data. His research interests encompass large language models, digital health and computer vision.
Sessions
Open OnDemand (OOD) is ideally placed to bridge the divide between traditional shell-based batch HPC and emerging large language model (LLM) workflows. Our team deployed OOD internally at MERLIN, a small HPC research cluster located inside Perth Children’s Hospital to provide HPC resources to a range of technical and non-technical users on sensitive healthcare data. We adapted existing LLM web applications for OOD to provide a low-code playground for non-technical researchers such as medical doctors and research assistants to engage with LLM resources in a healthcare environment. This presentation will discuss the rationale, and implementation of OOD LLM web applications in a highly restricted environment and motivate future improved support for these types of workflows within OOD.