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Members-Only
Recent Talks & Demos are for members only
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Learn how to build and deploy an end-to-end AI autograder, addressing LLM limitations for educators. This talk details the architecture and considerations for practical educational tools.
Many AI autograding tools don’t work as expected because Large Language Models are probabilistic. If these tools are not good at grading at this point in time, how can they still be a useful tool for educators. Built by a teacher for teachers, this tool shows the end-to-end pipeline of how an autograder can be built and deployed in the educational setting.
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