AIware: Building high-quality and trustworthy foundation model-powered applications (FMware)
SE for AI
This program is tentative and subject to change.
This session will cover the basics of building a trustworthy FMware application. Topics covered include Overview of AIware Introduction to trustworthiness of software and AI
- How to select the right model?
- How to benchmark a model?
- How to write a good prompt?
- How to prevent hallucination?
- How to debug prompts?
- How to prevent getting or causing harm? - Guardrails
- How to ensure compliance in dataflow?
- How to conduct quality evaluation?
- How to interact with the users?
- How to operationalize the application?
Dayi Lin is a Principal Researcher at the Centre for Software Excellence, Huawei Canada, working on the topics of SE for AI and foundation model applications. His research interests include SE for AI, AI for SE, game engineering, and mining software repositories. His work has been published at several top-tier software engineering venues, such as TSE, TOSEM, EMSE, and ICSE. His work on SE and games has also attracted wide media coverage including Kotaku, PC Gamers, Gamasutra, and national newspapers. He received a Ph.D. in Computer Science from Queen’s University, Canada. More about him can be found at https://lindayi.me
This program is tentative and subject to change.
Sat 3 MayDisplayed time zone: Eastern Time (US & Canada) change
11:30 - 12:00 | |||
11:30 30mTalk | AIware: Building high-quality and trustworthy foundation model-powered applications (FMware)SE for AI Tutorials and Technical Briefings Dayi Lin Centre for Software Excellence, Huawei Canada | ||
