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Virtual
1:00 pm to 2:30 pm (ET)
Bilingual, with interpretation in both official languages
Online
1.5 hours
All public servants at all levels
Large language models (LLMs) underpin many of today’s generative AI tools. At the same time, scrutiny around their risks, limitations, and trade-offs is increasing. A practical understanding of how LLMs work can help inform decisions about where and when generative AI should be used, particularly when it is embedded in organizational systems.
Large language models (LLMs) underpin many of today’s generative AI tools. At the same time, scrutiny around their risks, limitations, and trade-offs is increasing. A practical understanding of how LLMs work can help inform decisions about where and when generative AI should be used, particularly when it is embedded in organizational systems.
This event will explains how large language models are built, adapted, and used responsibly in practice, and will highlight leading Canadian research on model training, fine-tuning, guardrails, and related techniques. The event will also explains how LLMs generate outputs, how they differ from small language models, how they can support a range of work activities, and what considerations shape their effective and appropriate use.
Participants will deepen their understanding of LLM fundamentals, including their inherent limitations, biases, and risks, what safe and responsible use of LLM-powered tools looks like, key use cases, and how AI agents leverage LLMs to perform tasks.
This event was organized in partnership with National Research Council Canada.
Learn more about the Learning Week on Artificial Intelligence.
