January 25, 2024 |
- Roundtable discussion on current LLM use cases across campus specifically on Teaching and Learning, Student Advising, administrative operations
- Outlined current challenges with existing infrastructure and intellectual property
- Future meetings will include discussions on an enterprise approach for LLM at UBC including potential governance structure to coordinate LLM initiatives
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February 22, 2024 |
- Review of use case template and governance structure to identify pilot projects
- Discuss a coordinated and collaborative enterprise approach to Gen AI solutions
- Discuss on creating a technical working group to assess the prototypes on feasibility, resources required and costs
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March 18, 2024 |
- Share University of Michigan’s solution and approach for LLM
- Discuss various approaches on moving forward with building pilot projects from use cases or building platforms at the institutional level and providing guideline & directions
- Discuss forming a technical working group in a collaborative & self-organized group to pool existing resources, knowledge and skillsets across departments
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April 15, 2024 |
- Review detailed use case using ranking criteria (value, feasibility, risks, costs, data integrity) and select piloting projects to scope out and develop.
- Discuss structure and goals of technical working group with the aim of sharing resources, knowledge, and best practices; move into process enablement approaches in a synergistic and collaborative manners.
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June 13, 2024 |
- Discuss the transformative potential of AI in pedagogy, student experiences, and traditional teaching methods.
- Introduce a LLM sandbox to support faculty with development and data management in a pooled approach for developer assistance, streamlining development processes, and ensuring data security.
- Discuss AI automation for administrative tasks focusing on operational efficiencies with a multidisciplinary team while emphasizing the importance of authoritative data sources and privacy compliance.
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July 22, 2024 |
- Revisited UBC’s enterprise-wide LLM solution, stressing continuous model assessment and documenting lessons for best practices and policy decisions.
- Discussed the development of a scalable and secure framework for AI in administrative tasks, with ongoing alignment to governance and steering committees for strategic direction.
- Presented AI model architecture, focusing on UBC application integration, filtering PIA data, and exploring commercial or custom models with privacy and security controls.
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