Building an AI-text detector from scratch [P]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
- Tutorial: https://ordinaryintelligence.substack.com/p/how-to-build-an-ai-slop-detector
- Notebook on GitHub: https://github.com/Buzzpy/Python-Projects/blob/main/AI-slop-detector.ipynb
[link] [comments]
More from r/MachineLearning
-
A collision-entropy floor for watermark/retrieval AI-text detection. Looking for a sanity check before I take this further [D]
Aug 14
-
Are supervised and unsupervised learning still relevant today? [D]
Aug 14
-
TMLR Relevance and Prestige [D]
Aug 13
-
Reproducible canvas-aligned low-level patterns in somerandomllm-generated images and their possible relation to iterative editing artifacts [D]
Aug 13
Discussion (0)
Sign in to join the discussion. Free account, 30 seconds — email code or GitHub.
Sign in →No comments yet. Sign in and be the first to say something.