The BRN Research Symposium will bring together multidisciplinary researchers from across the University of Toronto to showcase the transformative impact of Black research excellence in shaping the future. What to […]
This session focuses on accessible content creation practices. Techniques for conceptualizing, creating and maintaining accessible documents will be discussed and how to build these into department wide processes. A heavy […]
Over the past few years, large language models (LLMs), like ChatGPT and Claude, have become instrumental in performing various natural language processing (NLP) tasks. They are proficient in natural language […]
Over the past few years, large language models (LLMs), like ChatGPT and Claude, have become instrumental in performing various natural language processing (NLP) tasks. They are proficient in natural language […]
This session will provide participants with a foundational knowledge on how communication and language can create barriers to accessibility, and how to address these barriers. Participants will be (re-) introduced […]
Over the past few years, large language models (LLMs), like ChatGPT and Claude, have become instrumental in performing various natural language processing (NLP) tasks. They are proficient in natural language […]
This session will provide communications professionals with key resources, tips and techniques to support the development and creation of accessible social media content. Participants will be reminded of our obligations, […]
The WIIH & Ontario NEIHR Indigenizing Health Symposium 2025: Being Safe With Our Culture Again, aims to share knowledges, and foster dialogue and collaboration about Indigenous health and cultural safety. This […]
In today's rapidly changing academic publishing environment, researchers and authors face new challenges and opportunities related to copyright management and open access publishing. This webinar aims to equip participants with […]
In this class, we are going to take the named entities output from the Named Entity Recognition using LLMs class and apply a statistical model to analyze the data. This […]
In this class, we are going to take the named entities output from the Named Entity Recognition using LLMs class and apply a statistical model to analyze the data. This […]
