Substack recently launched its AI detector feature in the UI, which is super interesting.
Separately, lots of people asked me about interesting local do-it-yourself LLM projects as demos to show what small language models (SLMs) are capable of.
Putting one and one together, I thought it would be interesting to show how an AI detector can be implemented. I will also use it as a verifier to train a small language model to produce text that avoids detection. This is a small educational project for studying the limitations of AI detectors and exploring a verifier-based LLM application beyond regular reasoning models trained on math and code.
So, as mentioned above, the intended goal of this tutorial is to explain how AI detectors work by building (a simple) one.
Source: Sebastian Raschka - Ahead of AI — Read the full article on the original site ↗