Výsledky vyhledávání

A neural network solves, explains, and generates university math problems by program synthesis and few-shot learning at human level

Autor: Iddo Drori, Sarah Zhang, Reece Shuttleworth, Leonard Tang, Albert Lu, Elizabeth Ke, Kevin Liu, Linda Chen, Sunny Tran, Newman Cheng, Roman Wang, Nikhil Singh, Taylor L. Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, Gilbert Strang

Publikováno v: Proceedings of the National Academy of Sciences of the United States of America. 119(32)

We demonstrate that a neural network pre-trained on text and fine-tuned on code solves mathematics course problems, explains solutions, and generates new questions at a human level. We automatically synthesize programs using few-shot learning and Ope

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0780c0feaff66479f009a6fe9fa92f83
https://pubmed.ncbi.nlm.nih.gov/35917350

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