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synapz is a research prototype exploring how large language models can adapt teaching content to different cognitive styles. built over a 48-hour sprint with a strict $50 api budget, this project implements a scientific framework to test whether adaptive teaching produces measurably better results than static approaches.
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docs: enhance README badges with improved aesthetic design
60c6badView on GitHubdocs: update badges in README with minimalist design and relevant links
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408b0ecView on GitHubdocs: improve README flow and add algebra concept selection details
ac8acb5View on GitHubdocs: restructure README to highlight reasoning experiment with improved aesthetics
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eb0af76View on GitHubfeat: add new analysis, core updates, and experiment files
3108089View on GitHubdocs: update README with latest reasoning experiment insights and add visualization files
0007290View on GitHubdocs: remove remaining effect_sizes.png reference from readme
605a81dView on GitHubDocs: Apply visual polish and spacing consistency to README.md
c87c8baView on GitHubDocs: Update README with statistics & insights from batch_run_20250518_121146
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