LLM---Detect-AI-Generated-Text and LLM-Text-Detection

Both are functionally equivalent BERT-based classifiers for detecting AI-generated text, making them direct competitors rather than complementary or related tools in an ecosystem.

Maintenance 6/25
Adoption 9/25
Maturity 16/25
Community 14/25
Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 18/25
Stars: 76
Forks: 11
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 59
Forks: 12
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No Package No Dependents
No License Stale 6m No Package No Dependents

About LLM---Detect-AI-Generated-Text

Vidhi1290/LLM---Detect-AI-Generated-Text

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

Built on BERT's bidirectional transformer architecture, the solution implements a sequence classification pipeline with text preprocessing, BERT tokenization, and model fine-tuning to distinguish authentic from AI-generated content. Outputs predictions with confidence scores to CSV for downstream analysis, making it suitable for integration into content moderation workflows or research pipelines requiring interpretable detection results.

About LLM-Text-Detection

beingamanforever/LLM-Text-Detection

A complete overview and insights into AI-Text detection :seedling: using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated :sunflower: or Human-authored :rocket:

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