Do not settle for one Large Language Model - leverage them all and use better tooling with QuadC AI!
Location
Sawgrass
Start Date
30-5-2025 9:00 AM
End Date
30-5-2025 9:25 AM
Description
This session will discuss how QuadC's AI solution leverages multiple AI Large Language Models (ChatGPT, Gemini, Claude, etc.) on one platform with better tooling and more flexible licensing. This will help educators save time and effort, enable students to learn better and faster, and some improved administrative capabilities to help scale deployment. Participants will learn how the platform leverages multiple AI LLM models to provide different perspectives to encourage critical thinking and detect/challenge biases; how better tooling in the platform can save time on grading, make make working with LMS systems easier, get sentiment analysis, and provide abuse detection; and also how one can start using this platform in your organization easily in small steps starting from a single class and eventually scaling to the whole school with minimal administrative support.
Recommended Citation
Wu, Robert, "Do not settle for one Large Language Model - leverage them all and use better tooling with QuadC AI!" (2025). Teaching and Learning with AI Conference Presentations. 21.
https://stars.library.ucf.edu/teachwithai/2025/friday/21
Do not settle for one Large Language Model - leverage them all and use better tooling with QuadC AI!
Sawgrass
This session will discuss how QuadC's AI solution leverages multiple AI Large Language Models (ChatGPT, Gemini, Claude, etc.) on one platform with better tooling and more flexible licensing. This will help educators save time and effort, enable students to learn better and faster, and some improved administrative capabilities to help scale deployment. Participants will learn how the platform leverages multiple AI LLM models to provide different perspectives to encourage critical thinking and detect/challenge biases; how better tooling in the platform can save time on grading, make make working with LMS systems easier, get sentiment analysis, and provide abuse detection; and also how one can start using this platform in your organization easily in small steps starting from a single class and eventually scaling to the whole school with minimal administrative support.