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This video tutorial continues the case study on building an AI application for marking student mathematics questions, focusing on the conclusion of iteration 5 in the agent optimization process. Learn how to enhance the marking system by adding descriptive mark type explanations alongside each sub-question markscheme and improving guidelines for awarding reasoning marks. The tutorial includes a practical demonstration of running a new evaluation based on these improvements, with results available at the Unify.ai documentation site. Perfect for developers interested in educational AI applications and optimizing AI-based assessment systems.
