Seminars & Events

Tuesday, June 25, 2024, 15:00-16:00
The Health AI and Data Science (HAD) Program presents
Introduction to Natural Language Processing (NLP) and Large Language Model (LLM): Part 2 of 2
Speaker: Juan Li, Doug Manuel (moderator)
Juan Li is a Senior Clinical Research Associate in Neuroscience Program and Clinical Epidemiology Program at OHRI. Her main research interest includes predictive modelling, risk of Parkinson disease, machine learning, clinical research, and psychometrics.

Moderator:
Dr. Doug Manuel holds the position of Senior Scientist at the Ottawa Hospital Research Institute and is a distinguished professor at uOttawa’s Department of Family Medicine and School of Epidemiology and Public Health, holding a Tier 1 Clinical Research Chair in Precision Medicine for Disease Prevention. Dr. Manuel holds an additional appointment as a senior investigator at Bruyère Research Institute.

Dr. Manuel’s research combines expertise in public health, healthcare systems, and primary care, focusing on understanding factors contributing to differences in population health outcomes across societies. This research involves developing and using advanced predictive algorithms and microsimulation models to assess the potential impact of health interventions and policy strategies. Dr. Manuel collaborates on Project Big Life, a website with disease risk calculators, helping millions globally to understand their health and contribute to evidence-based public health decisions.
Location: Virtual via MS Teams. Meeting ID: 298 473 539 616 | Passcode: iQ262y

Please contact Emma Brown at emmabrown1@ohri.ca if you would like the meeting link.

NOTE: If you would like to be added to the HAD - Health AI and Data Science team on MS Teams (including the HAD JC seminar mailing list), please join the team using code: owfh55e. If you are external to TOH/OHRI and would like to be added, please email Emma Brown at emmabrown1@ohri.ca.

This is a two-part seminar series. Part 1 of the seminar series will be held June 11th by Arya Rahgozar and moderated by Doug Manuel, from the Ottawa Hospital Research Institute. A recording of Part 1 will be available in the HAD JC MS Teams channel. If you would like to view the recording and do not have access, please email emmabrown1@ohri.ca to receive the link.

Learning Objectives:

Part 1 – Applications of NLP and LLM

By the end of the seminar, participants will:

  • Be able to list few important NLP subtasks
  • Know a few inherent challenges in NLP
  • Beware of the frontiers in a few applications of LLM

Part 2 – Introduction of LLM

In this seminar, we will cover a lot of ground without going into details and will provide resources for further learning. By the end of the seminar, participants will:

  • Understand the LLM workflow
  • Have the basic understanding of LLM concepts: transformer, pre-training, prompt engineering, fine-tuning, reinforcement learning from human feedback (RLHF), augment model, etc.
  • Identify the resources for learning further

Please note that OHRI seminars are open to all members of OHRI and partner institutions. Members of the general public are asked to contact the communications office (jganton@ohri.ca) for more information about the research presented at OHRI seminars.