This repository contains a project to 1) develop an application that will use a large language model to automatically write text and 2) an application that identifies AI-generated written text.
The goal of this project is to develop a basic filter model as part of a larger NLP pipeline for the automated scoring of student essays.
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asapData: contains all of the code and data we will develop relevant to using the ASAP data.
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templates/autoScore: contains highly-performing and highly-rated example templates designed for automated scoring of the ASAP student response data.
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templates/aiDetect: contains example code from other projects used to identify machine-generated text using a different dataset.