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Jacob Torrey 2023-06-08 19:46:01 -06:00
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@ -6,7 +6,7 @@ its training data to calculate the probability of each word given the preceeding
the more high-probability tokens are more likely to be AI-originated. Techniques and tools in this repo are looking for
faster approximation to be embeddable and more scalable.
## LZMA compression detector (`lzma_detect.py` and `nlzmadetect`)
## LZMA compression detector (`zippy.py` and `nlzmadetect`)
ZipPy uses the LZMA compression ratios as a way to indirectly measure the perplexity of a text.
Compression ratios have been used in the past to [detect anomalies in network data](http://owncloud.unsri.ac.id/journal/security/ontheuse_compression_Network_anomaly_detec.pdf)