Web: https://www.reddit.com/r/MachineLearning/comments/wh2cre/r_a_neural_network_solves_explains_and_generates/

Aug. 5, 2022, 6:14 p.m. | /u/Singularian2501

Machine Learning reddit.com

Paper: [https://www.pnas.org/doi/full/10.1073/pnas.2123433119](https://www.pnas.org/doi/full/10.1073/pnas.2123433119)

Github: [https://github.com/idrori/mathQ](https://github.com/idrori/mathQ)

Abstract:

>We demonstrate that a neural network pretrained on text and fine-tuned on code solves mathematics course problems, explains solutions, and generates questions at a human level. We automatically synthesize programs using few-shot learning and OpenAI’s Codex transformer and execute them to solve course problems at 81% automatic accuracy. We curate a dataset of questions from Massachusetts Institute of Technology (MIT)’s largest mathematics courses (Single Variable and Multivariable Calculus, Differential Equations, Introduction to Probability and Statistics, …

few-shot learning human learning machinelearning math network neural neural network stanford university

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