1st Place Solution for LLM - Detect AI Generated Text Kaggle Competition

AI-Generated Text Detection: A BERT-powered solution for accurately identifying AI-generated text. Seamlessly integrated, highly accurate, and user-friendly.🚀

This project fulfills the requirements for the final project of DSCI-6612 Introduction to AI, instructed by Professor Vahid Behzadan, as part of the Master's in Data Science program at the University of New Haven. The dataset used in this project was obtained from Kaggle.

LLM - Detect AI Generated Text || Identify which essay was written by a large language model

My solution for the ''LLM - Detect AI Generated Text'' kaggle competition

Kaggle challenge of ai-generated text detection

This AI-powered tool extracts Subject-Predicate-Object (SPO) triplets from unstructured text using LLMs, performs entity standardization and relationship inference, and generates interactive, community-detected knowledge graphs with rich visualizations.

Novice who participated in the competition for the first time shared my experiences.

在近年来，大型语言模型（LLM）的发展日益成熟，它们生成的文本越来越难以与人类的写作相区分。竞赛要求参赛者开发一个能准确检测出一篇文章是由学生还是LLM写成的机器学习模型。竞赛数据集包含了学生写的论文和由各种LLM生成的文章。该竞赛为典型的二分类问题，评价指标为AUC。

This Machine Learning Project detects AI/LLM generated content & provides in depth analysis. The trained model can detect text generated by GPT-4, 3.5, 2, Zero, Bard & other LLMs with high accuracy by using newer efficient detection algorithms.

ML Model based on Classification and pre-trained models such as Bert , GPT-3 to detect AI generated text

Detect whether the text is AI-generated by training a new tokenizer and combining it with tree classification models or by training language models on a large dataset of human & AI-generated texts.

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This project aims to detect AI-generated text by leveraging sentence embeddings from a fine-tuned LLM and predict whether a given text is AI-generated or human-written.

LLM helps identify AI-generated content by leveraging state-of-the-art language models. Whether you’re combating misinformation or simply curious, this project achieved an impressive accuracy of 72% in the Kaggle competition named LLM - Detect AI Generated Texts. Contributions are welcome!

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Detect books via webcam, extract cover text using OCR, and generate AI-powered summaries with a local LLM. Real-time GUI built with OpenCV, Tkinter, and Ollama.

build a model to identify which essay was written by middle and high school students, and which was written using a large language model?

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from kaggle: LLM - Detect AI Generated Text

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This repo contains the solution to the Kaggle LLM Detect AI Generated Text (DAIGT)

This project is an AI-generated text detection system, utilizing deep learning models to classify essays as either real or fake. The project is built on the DeBERTaV3 model and Keras-NLP, with data sourced from Kaggle and external datasets.

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Kaggle Competition Submission : LLM-Detect-AI-Generated Text

A machine learning model that can accurately detect whether an essay was written by a student or an LLM

Kaggle Competition

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