20
An open-source LLM text detector
(blog.thinkst.com)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 09 Jun 2023
20 points (100.0% liked)
Technology
37689 readers
270 users here now
A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.
Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.
Subcommunities on Beehaw:
This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.
founded 2 years ago
MODERATORS
That is a genius approach, though a big challenge is probably going to be to select the correct corpus
It's not if you're aware of Generative Adversarial Network, it's a losing game for the detector, because anything you use to try and detect generated content would only strengthen the neural net model itself, so by making a detector, you're making it better at evading detection. At least in language model, they are looking at how GAN can be applied in language model.