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Cambridge Mathematics
These experiments are still in testing phase but are very promising. The goal is to harness the power of AI in various cases while still adopting a 'human in the loop' approach to ensure validity and accuracy.
Keep an eye on this section for further updates and experiments!
We are testing an inbuilt LLM-powered matching tool for creating connections between the mathematics layer in the Framework and other layers such as curriculum statements, tasks and assessments.
Our Research Summaries can be quite expansive, some reaching 20 pages. We are considering an Executive Summary version for a quick digest, and this process could now be assisted by an LLM to create a first draft.
This tool is a feature which utilises an LLM to make title suggestions based on the content of a waypoint.