The video tutorial explains how to identify whether content is generated by AI, such as ChatGPT, or by a human. It introduces GPT-0, a tool developed by a Princeton student, which uses text perplexity to determine the likelihood of AI-generated text. The tutorial demonstrates the tool's functionality and explains the concept of perplexity, a measure used in NLP to evaluate language models. Lower perplexity scores indicate AI-generated text, while higher scores suggest human authorship.

How can one use the concept of perplexity to evaluate language models?

What role does the training set play in the computation of probabilities for the language model?

Describe the relationship between perplexity scores and the likelihood of a text being AI-generated.